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ordiBreadth_1.0.tar.gz ... ok downloading paco_0.4.2.tar.gz ... ok downloading palaeoSig_2.1-3.tar.gz ... ok downloading patternize_0.0.5.tar.gz ... ok downloading PCPS_1.0.7.tar.gz ... ok downloading pctax_0.1.1.tar.gz ... ok downloading pez_1.2-4.tar.gz ... ok downloading phyloregion_1.0.8.tar.gz ... ok downloading picante_1.8.2.tar.gz ... ok downloading PolicyPortfolios_0.3.tar.gz ... ok downloading PopGenReport_3.1.tar.gz ... ok downloading poppr_2.9.6.tar.gz ... ok downloading ProjectionBasedClustering_1.2.2.tar.gz ... ok downloading QFASA_1.2.1.tar.gz ... ok downloading RaceID_0.3.5.tar.gz ... ok downloading rareNMtests_1.2.tar.gz ... ok downloading rdacca.hp_1.1-1.tar.gz ... ok downloading recluster_2.9.tar.gz ... ok downloading rioja_1.0-6.tar.gz ... ok downloading RPANDA_2.3.tar.gz ... ok downloading Rtapas_1.2.tar.gz ... ok downloading RTCC_0.1.1.tar.gz ... ok downloading RVAideMemoire_0.9-83-7.tar.gz ... ok downloading RVenn_1.1.0.tar.gz ... ok downloading 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visvow_1.3.11.tar.gz ... ok downloading Xplortext_1.5.3.tar.gz ... ok downloading zetadiv_1.2.1.tar.gz ... ok downloading abdiv_0.2.0.tar.gz ... ok downloading betapart_1.6.tar.gz ... ok downloading biosampleR_1.0.4.tar.gz ... ok downloading bipartiteD3_0.3.1.tar.gz ... ok downloading dimRed_0.2.6.tar.gz ... ok downloading dissCqN_0.1.0.tar.gz ... ok downloading divDyn_0.8.2.tar.gz ... ok downloading ecolottery_1.0.0.tar.gz ... ok downloading ecoregime_0.2.0.tar.gz ... ok downloading ecospace_1.4.2.tar.gz ... ok downloading ecostats_1.2.1.tar.gz ... ok downloading ecotraj_0.1.1.tar.gz ... ok downloading eHOF_1.15.tar.gz ... ok downloading enveomics.R_1.9.1.tar.gz ... ok downloading epiphy_0.5.0.tar.gz ... ok downloading GCalignR_1.0.7.tar.gz ... ok downloading glottospace_0.0.112.tar.gz ... ok downloading hagis_3.1.12.tar.gz ... ok downloading idar_1.5.tar.gz ... ok downloading mefa_3.2-9.tar.gz ... ok downloading MetaNet_0.1.2.tar.gz ... ok downloading MiRKAT_1.2.3.tar.gz ... ok downloading MiscMetabar_0.9.1.tar.gz ... ok downloading ordr_0.1.1.tar.gz ... ok downloading pcutils_0.2.6.tar.gz ... ok downloading permute_0.9-7.tar.gz ... ok downloading phylotools_0.2.2.tar.gz ... ok downloading primer_1.2.0.tar.gz ... ok downloading ProcMod_1.0.8.tar.gz ... ok downloading raptr_1.0.1.tar.gz ... ok downloading ReporterScore_0.1.8.tar.gz ... ok downloading restoptr_1.0.6.tar.gz ... ok downloading Rraven_1.0.14.tar.gz ... ok downloading RRphylo_2.8.1.tar.gz ... ok downloading sads_0.6.3.tar.gz ... ok downloading sharpshootR_2.3.1.tar.gz ... ok downloading shipunov_1.17.1.tar.gz ... ok downloading SoundShape_1.3.0.tar.gz ... ok downloading spaa_0.2.2.tar.gz ... ok downloading SQMtools_1.6.3.tar.gz ... ok downloading taxize_0.9.100.1.tar.gz ... ok downloading tidypaleo_0.1.3.tar.gz ... ok downloading ulrb_0.1.5.tar.gz ... ok downloading vegdata_0.9.12.tar.gz ... ok downloading vegtable_0.1.8.tar.gz ... ok downloading WeightedCluster_1.6-4.tar.gz ... ok downloading yaImpute_1.0-34.tar.gz ... ok installing dependencies ‘abc’, ‘acepack’, ‘adehabitatHR’, ‘adephylo’, ‘adespatial’, ‘ALDEx2’, ‘alphashape3d’, ‘analogue’, ‘ANCOMBC’, ‘aqp’, ‘Arothron’, ‘aSPU’, ‘assertr’, ‘batchelor’, ‘bestglm’, ‘betapart’, ‘biblio’, ‘BiodiversityR’, ‘biomod2’, ‘blockCV’, ‘bootSVD’, ‘caper’, ‘castor’, ‘ccaPP’, ‘cccd’, ‘cenGAM’, ‘ChemmineR’, ‘Claddis’, ‘cmaes’, ‘coenocliner’, ‘colorBlindness’, ‘ComplexUpset’, ‘Compositional’, ‘coop’, ‘coRanking’, ‘cordillera’, ‘corehunter’, ‘DAAG’, ‘dada2’, ‘dartR.base’, ‘dartR.data’, ‘DatabionicSwarm’, ‘daymetr’, ‘ddpcr’, ‘DECIPHER’, ‘DendSer’, ‘dggridR’, ‘dgof’, ‘DiceOptim’, ‘diffusionMap’, ‘DirichletReg’, ‘distory’, ‘DRR’, ‘ecespa’, ‘ecoCopula’, ‘ecodist’, ‘ecotraj’, ‘ecr’, ‘emdbook’, ‘emdist’, ‘EMT’, ‘EnhancedVolcano’, ‘ENMeval’, ‘entropart’, ‘EntropyEstimation’, ‘envirem’, ‘Evapotranspiration’, ‘evolqg’, ‘FastKNN’, ‘FateID’, ‘fmcsR’, ‘fossil’, ‘FSA’, ‘gawdis’, ‘GeneralizedUmatrix’, ‘genetics’, ‘geomorph’, ‘geoscale’, ‘GET’, ‘gggibbous’, ‘gghalves’, ‘ggpolypath’, ‘ggstance’, ‘ggstatsplot’, ‘ggtern’, ‘ggtreeExtra’, ‘ggVennDiagram’, ‘gllvm’, ‘glmulti’, ‘grapherator’, ‘groupdata2’, ‘grplasso’, ‘GSA’, ‘GUILDS’, ‘GUniFrac’, ‘gurobi’, ‘HardyWeinberg’, ‘harmony’, ‘hierfstat’, ‘hillR’, ‘Hotelling’, ‘hydromad’, ‘hypervolume’, ‘iCAMP’, ‘icosa’, ‘indicspecies’, ‘iNEXT’, ‘inflection’, ‘investr’, ‘ips’, ‘iterpc’, ‘landscapemetrics’, ‘latentnet’, ‘LDRTools’, ‘leaflet.minicharts’, ‘loe’, ‘mapedit’, ‘maptpx’, ‘maxlike’, ‘maxnet’, ‘meanShiftR’, ‘mefa4’, ‘metacoder’, ‘MetaNet’, ‘Mfuzz’, ‘mia’, ‘microbiome’, ‘microViz’, ‘minerva’, ‘mirtCAT’, ‘mlpack’, ‘mmod’, ‘morphomap’, ‘MPSEM’, ‘mvabund’, ‘mvMORPH’, ‘mvnormtest’, ‘NatureSounds’, ‘neonUtilities’, ‘NetIndices’, ‘NST’, ‘paco’, ‘PADOG’, ‘ParallelLogger’, ‘paran’, ‘pathview’, ‘pcaL1’, ‘pcutils’, ‘PearsonDS’, ‘perm’, ‘PERMANOVA’, ‘pgirmess’, ‘phaseR’, ‘phyclust’, ‘phyext2’, ‘phyloregion’, ‘phyloseqGraphTest’, ‘phylosignal’, ‘phylotate’, ‘plink’, ‘poibin’, ‘poilog’, ‘PoissonBinomial’, ‘polysat’, ‘pomp’, ‘PopGenReport’, ‘poppr’, ‘predicts’, ‘primer’, ‘ProjectionBasedClustering’, ‘r2r’, ‘Rarity’, ‘RcppTN’, ‘red’, ‘relaimpo’, ‘RGCCA’, ‘rgexf’, ‘rioja’, ‘Rlof’, ‘Rmisc’, ‘RNiftyReg’, ‘roxyglobals’, ‘Rphylopars’, ‘rSEA’, ‘runner’, ‘sads’, ‘safe’, ‘scagnostics’, ‘sdpt3r’, ‘shinyLP’, ‘SIBER’, ‘slingshot’, ‘smacofx’, ‘smatr’, ‘smirnov’, ‘smoothr’, ‘SNPRelate’, ‘soilDB’, ‘SoilTaxonomy’, ‘SpadeR’, ‘spider’, ‘SRS’, ‘SSP’, ‘StAMPP’, ‘StereoMorph’, ‘SYNCSA’, ‘tapkee’, ‘taxlist’, ‘TESS’, ‘traits’, ‘TraMineRextras’, ‘treemapify’, ‘TSCAN’, ‘tsne’, ‘untb’, ‘usdm’, ‘vegan’, ‘vegan3d’, ‘vegclust’, ‘vegdata’, ‘venneuler’, ‘voronoiTreemap’, ‘warbleR’, ‘webchem’, ‘WeightedCluster’, ‘word2vec’, ‘zCompositions’, ‘zetadiv’ Warning: packages ‘microViz’, ‘gurobi’, ‘loe’, ‘hydromad’ are not available for this version of R Versions of these packages for your version of R might be available elsewhere, see the ideas at https://cran.r-project.org/doc/manuals/r-devel/R-admin.html#Installing-packages also installing the dependencies ‘rebird’, ‘rvertnet’, ‘ridigbio’, ‘spocc’, ‘BIEN’, ‘hwriter’, ‘widgetTools’, ‘DynDoc’, ‘WRS2’, ‘BiocBaseUtils’, ‘RcppML’, ‘rangeModelMetadata’, ‘BAT’, ‘palinsol’, ‘gdsfmt’, ‘TrajectoryUtils’, ‘naturalsort’, ‘strap’, ‘svgViewR’, ‘plot3Drgl’, ‘ShortRead’, ‘RRPP’, ‘ore’, ‘tkWidgets’, ‘ABCanalysis’, ‘mixture’, ‘mvhtests’, ‘regda’, ‘som’, ‘ResidualMatrix’, ‘rearrr’, ‘CVST’, ‘abc.data’, ‘fishMod’, ‘leafpm’, ‘TreeSummarizedExperiment’, ‘ggside’, ‘statsExpressions’, ‘MultiAssayExperiment’, ‘decontam’, ‘scater’, ‘DirichletMultinomial’, ‘bluster’, ‘KEGGgraph’, ‘KEGGdzPathwaysGEO’, ‘hgu133plus2.db’, ‘hgu133a.db’, ‘monitoR’, ‘bioacoustics’, ‘yamlme’ begin installing package ‘rebird’ begin installing package ‘rvertnet’ begin installing package ‘ridigbio’ begin installing package ‘BIEN’ begin installing package ‘hwriter’ begin installing package ‘widgetTools’ begin installing package ‘DynDoc’ begin installing package ‘WRS2’ begin installing package ‘BiocBaseUtils’ begin installing package ‘RcppML’ begin installing package ‘palinsol’ begin installing package ‘gdsfmt’ begin installing package ‘TrajectoryUtils’ begin installing package ‘naturalsort’ begin installing package ‘svgViewR’ begin installing package ‘plot3Drgl’ begin installing package ‘RRPP’ begin installing package ‘ore’ begin installing package ‘ABCanalysis’ begin installing package ‘mixture’ begin installing package ‘mvhtests’ begin installing package ‘regda’ begin installing package ‘som’ begin installing package ‘ResidualMatrix’ begin installing package ‘rearrr’ begin installing package ‘CVST’ begin installing package ‘abc.data’ begin installing package ‘fishMod’ * installing *source* package ‘abc.data’ ... ** package ‘abc.data’ successfully unpacked and MD5 sums checked ** using staged installation ** data ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (abc.data) begin installing package ‘leafpm’ * installing *source* package ‘BiocBaseUtils’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BiocBaseUtils) begin installing package ‘TreeSummarizedExperiment’ * installing *source* package ‘naturalsort’ ... ** package ‘naturalsort’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (naturalsort) begin installing package ‘ggside’ * installing *source* package ‘hwriter’ ... ** package ‘hwriter’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hwriter) begin installing package ‘decontam’ * installing *source* package ‘ABCanalysis’ ... ** package ‘ABCanalysis’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ABCanalysis) begin installing package ‘DirichletMultinomial’ * installing *source* package ‘regda’ ... ** package ‘regda’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (regda) begin installing package ‘bluster’ * installing *source* package ‘ridigbio’ ... ** package ‘ridigbio’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ridigbio) begin installing package ‘KEGGgraph’ * installing *source* package ‘DynDoc’ ... ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DynDoc) begin installing package ‘KEGGdzPathwaysGEO’ * installing *source* package ‘leafpm’ ... ** package ‘leafpm’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (leafpm) begin installing package ‘hgu133plus2.db’ * installing *source* package ‘palinsol’ ... ** package ‘palinsol’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (palinsol) begin installing package ‘hgu133a.db’ * installing *source* package ‘som’ ... ** package ‘som’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpSnKzuS/R.INSTALL2ce5c11e9eefdc/som/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c som.cc -o som.o In file included from tntsupp.h:8, from sub.h:1, from SomParam.h:2, from som.cc:4: tnt/fmat.h: In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘*this.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix::~Fortran_Matrix() [with T = double]’ at tnt/fmat.h:211:16, inlined from ‘double rect_dist(TNT::Region2D >, TNT::Region2D >)’ at SomParam.h:11:19: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix::~Fortran_Matrix() [with T = double]’ at tnt/fmat.h:211:16, inlined from ‘TNT::Subscript find_winner(TNT::DMatrix&, TNT::Subscript, TNT::DMatrix&)’ at som.cc:12:40: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix::~Fortran_Matrix() [with T = double]’ at tnt/fmat.h:211:16, inlined from ‘TNT::Subscript find_winner(TNT::DMatrix&, TNT::Subscript, TNT::DMatrix&)’ at som.cc:16:36: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix::~Fortran_Matrix() [with T = double]’ at tnt/fmat.h:211:16, inlined from ‘void visual(TNT::DMatrix&, TNT::DMatrix&, TNT::DMatrix&, TNT::DMatrix&)’ at som.cc:57:36: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix::~Fortran_Matrix() [with T = double]’ at tnt/fmat.h:211:16, inlined from ‘int update(TNT::DMatrix&, TNT::DMatrix&, TNT::Subscript, double, TNT::DVector&)’ at som.cc:32:24: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix& TNT::Fortran_Matrix::operator=(const TNT::Fortran_Matrix&) [with T = double]’ at tnt/fmat.h:227:20, inlined from ‘TNT::Fortran_Matrix& TNT::Fortran_Matrix::operator=(const TNT::Fortran_Matrix&) [with T = double]’ at tnt/fmat.h:217:24, inlined from ‘int update(TNT::DMatrix&, TNT::DMatrix&, TNT::Subscript, double, TNT::DVector&)’ at som.cc:34:17: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘*code.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix::~Fortran_Matrix() [with T = double]’ at tnt/fmat.h:211:16, inlined from ‘double qerror(TNT::DMatrix&, TNT::DMatrix&, TNT::DMatrix&, TNT::DMatrix&, SomParam&)’ at som.cc:76:38: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix::~Fortran_Matrix() [with T = double]’ at tnt/fmat.h:211:16, inlined from ‘void som_top(TNT::DMatrix&, TNT::DMatrix&, TNT::DMatrix&, SomParam&, SomParam&, double*)’ at som.cc:108:1: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘cord.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix::~Fortran_Matrix() [with T = double]’ at tnt/fmat.h:211:16, inlined from ‘SEXPREC* som_bat(SEXP, SEXP, SEXP, SEXP)’ at som.cc:225:3: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘Vis.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix::~Fortran_Matrix() [with T = double]’ at tnt/fmat.h:211:16, inlined from ‘SEXPREC* som_bat(SEXP, SEXP, SEXP, SEXP)’ at som.cc:225:3: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘Code.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix::~Fortran_Matrix() [with T = double]’ at tnt/fmat.h:211:16, inlined from ‘SEXPREC* som_bat(SEXP, SEXP, SEXP, SEXP)’ at som.cc:225:3: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘Data.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix::~Fortran_Matrix() [with T = double]’ at tnt/fmat.h:211:16, inlined from ‘SEXPREC* som(SEXP, SEXP, SEXP)’ at som.cc:198:3: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘Vis.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix::~Fortran_Matrix() [with T = double]’ at tnt/fmat.h:211:16, inlined from ‘SEXPREC* som(SEXP, SEXP, SEXP)’ at som.cc:198:3: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘Cord.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix::~Fortran_Matrix() [with T = double]’ at tnt/fmat.h:211:16, inlined from ‘SEXPREC* som(SEXP, SEXP, SEXP)’ at som.cc:198:3: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘Code.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ In member function ‘void TNT::Fortran_Matrix::destroy() [with T = double]’, inlined from ‘TNT::Fortran_Matrix::~Fortran_Matrix() [with T = double]’ at tnt/fmat.h:211:16, inlined from ‘SEXPREC* som(SEXP, SEXP, SEXP)’ at som.cc:198:3: tnt/fmat.h:161:9: warning: ‘void operator delete [](void*)’ called on pointer ‘Data.TNT::Fortran_Matrix::col_’ with nonzero offset 8 [-Wfree-nonheap-object] 161 | delete [] (col_); | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o som.so som.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpSnKzuS/R.INSTALL2ce5c11e9eefdc/som/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-som/00new/som/libs ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (som) begin installing package ‘monitoR’ * installing *source* package ‘fishMod’ ... ** package ‘fishMod’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpc20tgi/R.INSTALL2ce5cd69e10037/fishMod/src' g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Tweedie.cc -o Tweedie.o Tweedie.cc: In function ‘SEXPREC* dTweedie(SEXP, SEXP, SEXP, SEXP, SEXP)’: Tweedie.cc:25:21: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 25 | for( size_t i=0; i&, double*, int, int, double, double, const std::vector&, double, double)’: TweedieDeriv.cc:104:31: warning: unused variable ‘logW’ [-Wunused-variable] 104 | double Beta0, z1, z2, logW; //names are pretty obvious from supporting documentation | ^~~~ TweedieDeriv.cc: In function ‘void findWDeriv(double, double, double, double, double, double, double, std::vector&, std::vector&, std::vector&)’: TweedieDeriv.cc:162:10: warning: unused variable ‘res’ [-Wunused-variable] 162 | double res; | ^~~ g++-14 -std=gnu++11 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o fishMod.so Tweedie.o TweedieDeriv.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpc20tgi/R.INSTALL2ce5cd69e10037/fishMod/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-fishMod/00new/fishMod/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fishMod) begin installing package ‘bioacoustics’ * installing *source* package ‘widgetTools’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (widgetTools) begin installing package ‘yamlme’ * installing *source* package ‘rebird’ ... ** package ‘rebird’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rebird) begin installing package ‘vegan’ * installing *source* package ‘plot3Drgl’ ... ** package ‘plot3Drgl’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (plot3Drgl) begin installing package ‘zCompositions’ * installing *source* package ‘rvertnet’ ... ** package ‘rvertnet’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rvertnet) begin installing package ‘gggibbous’ * installing *source* package ‘decontam’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (decontam) begin installing package ‘alphashape3d’ * installing *source* package ‘yamlme’ ... ** package ‘yamlme’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (yamlme) begin installing package ‘r2r’ * installing *source* package ‘CVST’ ... ** package ‘CVST’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (CVST) begin installing package ‘hypervolume’ * installing *source* package ‘mvhtests’ ... ** package ‘mvhtests’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mvhtests) begin installing package ‘maxlike’ * installing *source* package ‘gggibbous’ ... ** package ‘gggibbous’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gggibbous) begin installing package ‘Rlof’ * installing *source* package ‘r2r’ ... ** package ‘r2r’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (r2r) begin installing package ‘maxnet’ * installing *source* package ‘KEGGgraph’ ... ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (KEGGgraph) begin installing package ‘blockCV’ * installing *source* package ‘rearrr’ ... ** package ‘rearrr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rearrr) begin installing package ‘dggridR’ * installing *source* package ‘Rlof’ ... ** package ‘Rlof’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpxeLpbJ/R.INSTALL2cf5e23d7aec3a/Rlof/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c distance.c -o distance.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o Rlof.so distance.o -fopenmp -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpxeLpbJ/R.INSTALL2cf5e23d7aec3a/Rlof/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-Rlof/00new/Rlof/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rlof) begin installing package ‘assertr’ * installing *source* package ‘maxnet’ ... ** package ‘maxnet’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (maxnet) begin installing package ‘colorBlindness’ * installing *source* package ‘alphashape3d’ ... ** package ‘alphashape3d’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpNusuJy/R.INSTALL2cf3b82ae2fbf3/alphashape3d/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c alphashape3d.c -o alphashape3d.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c insideashape.c -o insideashape.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c surfaceNormals.c -o surfaceNormals.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o alphashape3d.so alphashape3d.o init.o insideashape.o surfaceNormals.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpNusuJy/R.INSTALL2cf3b82ae2fbf3/alphashape3d/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-alphashape3d/00new/alphashape3d/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (alphashape3d) begin installing package ‘webchem’ * installing *source* package ‘WRS2’ ... ** package ‘WRS2’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (WRS2) begin installing package ‘ChemmineR’ * installing *source* package ‘monitoR’ ... ** package ‘monitoR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (monitoR) begin installing package ‘ggtern’ * installing *source* package ‘DirichletMultinomial’ ... ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpTEZcwG/R.INSTALL2ced058b44aa0/DirichletMultinomial/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 `gsl-config --cflags` -DR_DIRICHLETMULTINOMIAL -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_DirichletMultinomial.c -o R_init_DirichletMultinomial.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 `gsl-config --cflags` -DR_DIRICHLETMULTINOMIAL -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dirichlet_fit.c -o dirichlet_fit.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 `gsl-config --cflags` -DR_DIRICHLETMULTINOMIAL -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dirichlet_fit_main.c -o dirichlet_fit_main.o dirichlet_fit_main.c: In function ‘hessian’: dirichlet_fit_main.c:391:34: warning: ‘*’ in boolean context, suggest ‘&&’ instead [-Wint-in-bool-context] 391 | adCJK0[j] += adPi[i] * n ? gsl_sf_psi(adAlpha[j] + n) : dPsiAlpha; | ~~~~~~~~^~~ dirichlet_fit_main.c:393:33: warning: ‘*’ in boolean context, suggest ‘&&’ instead [-Wint-in-bool-context] 393 | adCJK[j] += adPi[i] * n ? gsl_sf_psi_1(adAlpha[j] + n): dPsi1Alpha; | ~~~~~~~~^~~ dirichlet_fit_main.c: In function ‘dirichlet_fit_main’: dirichlet_fit_main.c:542:17: warning: variable ‘status’ set but not used [-Wunused-but-set-variable] 542 | int signum, status; | ^~~~~~ gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o DirichletMultinomial.so R_init_DirichletMultinomial.o dirichlet_fit.o dirichlet_fit_main.o -L/usr/lib/x86_64-linux-gnu -lgsl -lgslcblas -lm -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpTEZcwG/R.INSTALL2ced058b44aa0/DirichletMultinomial/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-DirichletMultinomial/00new/DirichletMultinomial/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DirichletMultinomial) begin installing package ‘HardyWeinberg’ * installing *source* package ‘ggside’ ... ** package ‘ggside’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggside) begin installing package ‘iterpc’ * installing *source* package ‘assertr’ ... ** package ‘assertr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (assertr) begin installing package ‘leaflet.minicharts’ * installing *source* package ‘iterpc’ ... ** package ‘iterpc’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (iterpc) begin installing package ‘SIBER’ * installing *source* package ‘zCompositions’ ... ** package ‘zCompositions’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (zCompositions) begin installing package ‘NetIndices’ * installing *source* package ‘RRPP’ ... ** package ‘RRPP’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RRPP) begin installing package ‘tsne’ * installing *source* package ‘leaflet.minicharts’ ... ** package ‘leaflet.minicharts’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (leaflet.minicharts) begin installing package ‘GET’ * installing *source* package ‘colorBlindness’ ... ** package ‘colorBlindness’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (colorBlindness) begin installing package ‘phyclust’ * installing *source* package ‘NetIndices’ ... ** package ‘NetIndices’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (NetIndices) begin installing package ‘geoscale’ * installing *source* package ‘tsne’ ... ** package ‘tsne’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tsne) begin installing package ‘iNEXT’ * installing *source* package ‘svgViewR’ ... ** package ‘svgViewR’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpotLtSU/R.INSTALL2ce5a03942111d/svgViewR/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c read_obj_str.cpp -o read_obj_str.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o svgViewR.so RcppExports.o read_obj_str.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpotLtSU/R.INSTALL2ce5a03942111d/svgViewR/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-svgViewR/00new/svgViewR/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (svgViewR) begin installing package ‘Rarity’ * installing *source* package ‘hgu133plus2.db’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hgu133plus2.db) begin installing package ‘adehabitatHR’ * installing *source* package ‘webchem’ ... ** package ‘webchem’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (webchem) begin installing package ‘biomod2’ * installing *source* package ‘ore’ ... ** package ‘ore’ successfully unpacked and MD5 sums checked ** using staged installation checking for gcc... gcc-14 checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether gcc-14 accepts -g... yes checking for gcc-14 option to enable C11 features... none needed checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for sys/time.h... yes checking for unistd.h... (cached) yes checking for sys/times.h... yes checking for stdint.h... (cached) yes checking size of int... 4 checking size of short... 2 checking size of long... 8 checking size of void*... 8 checking size of long long... 8 checking for an ANSI C-conforming const... yes checking for size_t... yes checking for working alloca.h... yes checking for alloca... yes checking for working memcmp... yes configure: creating ./config.status config.status: creating src/onig/config.h ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpMOqe3G/R.INSTALL2ce5b62f0a24b6/ore/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c compile.c -o compile.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c escape.c -o escape.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c match.c -o match.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c print.c -o print.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c split.c -o split.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c subst.c -o subst.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c text.c -o text.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c wcwidth.c -o wcwidth.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c zzz.c -o zzz.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/regcomp.c -o onig/regcomp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/regenc.c -o onig/regenc.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/regerror.c -o onig/regerror.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/regexec.c -o onig/regexec.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/regext.c -o onig/regext.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/reggnu.c -o onig/reggnu.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/regparse.c -o onig/regparse.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/regposerr.c -o onig/regposerr.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/regposix.c -o onig/regposix.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/regsyntax.c -o onig/regsyntax.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/regtrav.c -o onig/regtrav.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/regversion.c -o onig/regversion.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/st.c -o onig/st.o onig/st.c:2169:1: warning: ‘st_rehash’ defined but not used [-Wunused-function] 2169 | st_rehash(st_table *tab) | ^~~~~~~~~ onig/st.c:2046:1: warning: ‘st_expand_table’ defined but not used [-Wunused-function] 2046 | st_expand_table(st_table *tab, st_index_t siz) | ^~~~~~~~~~~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/ascii.c -o onig/enc/ascii.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/big5.c -o onig/enc/big5.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/cp949.c -o onig/enc/cp949.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/euc_jp.c -o onig/enc/euc_jp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/euc_kr.c -o onig/enc/euc_kr.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/euc_tw.c -o onig/enc/euc_tw.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/gb18030.c -o onig/enc/gb18030.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/gbk.c -o onig/enc/gbk.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_1.c -o onig/enc/iso_8859_1.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_10.c -o onig/enc/iso_8859_10.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_11.c -o onig/enc/iso_8859_11.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_13.c -o onig/enc/iso_8859_13.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_14.c -o onig/enc/iso_8859_14.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_15.c -o onig/enc/iso_8859_15.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_16.c -o onig/enc/iso_8859_16.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_2.c -o onig/enc/iso_8859_2.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_3.c -o onig/enc/iso_8859_3.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_4.c -o onig/enc/iso_8859_4.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_5.c -o onig/enc/iso_8859_5.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_6.c -o onig/enc/iso_8859_6.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_7.c -o onig/enc/iso_8859_7.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_8.c -o onig/enc/iso_8859_8.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/iso_8859_9.c -o onig/enc/iso_8859_9.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/koi8_r.c -o onig/enc/koi8_r.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/koi8_u.c -o onig/enc/koi8_u.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/shift_jis.c -o onig/enc/shift_jis.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/unicode.c -o onig/enc/unicode.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/us_ascii.c -o onig/enc/us_ascii.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/utf_16be.c -o onig/enc/utf_16be.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/utf_16le.c -o onig/enc/utf_16le.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/utf_32be.c -o onig/enc/utf_32be.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/utf_32le.c -o onig/enc/utf_32le.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/utf_8.c -o onig/enc/utf_8.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/windows_1250.c -o onig/enc/windows_1250.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/windows_1251.c -o onig/enc/windows_1251.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/windows_1252.c -o onig/enc/windows_1252.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/windows_1253.c -o onig/enc/windows_1253.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/windows_1254.c -o onig/enc/windows_1254.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/windows_1257.c -o onig/enc/windows_1257.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ionig -Ionig/enc -Ionig/enc/unicode -DUNALIGNED_WORD_ACCESS=0 -DDISABLE_CONNECTIONS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c onig/enc/windows_31j.c -o onig/enc/windows_31j.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o ore.so compile.o escape.o match.o print.o split.o subst.o text.o wcwidth.o zzz.o onig/regcomp.o onig/regenc.o onig/regerror.o onig/regexec.o onig/regext.o onig/reggnu.o onig/regparse.o onig/regposerr.o onig/regposix.o onig/regsyntax.o onig/regtrav.o onig/regversion.o onig/st.o onig/enc/ascii.o onig/enc/big5.o onig/enc/cp949.o onig/enc/euc_jp.o onig/enc/euc_kr.o onig/enc/euc_tw.o onig/enc/gb18030.o onig/enc/gbk.o onig/enc/iso_8859_1.o onig/enc/iso_8859_10.o onig/enc/iso_8859_11.o onig/enc/iso_8859_13.o onig/enc/iso_8859_14.o onig/enc/iso_8859_15.o onig/enc/iso_8859_16.o onig/enc/iso_8859_2.o onig/enc/iso_8859_3.o onig/enc/iso_8859_4.o onig/enc/iso_8859_5.o onig/enc/iso_8859_6.o onig/enc/iso_8859_7.o onig/enc/iso_8859_8.o onig/enc/iso_8859_9.o onig/enc/koi8_r.o onig/enc/koi8_u.o onig/enc/shift_jis.o onig/enc/unicode.o onig/enc/us_ascii.o onig/enc/utf_16be.o onig/enc/utf_16le.o onig/enc/utf_32be.o onig/enc/utf_32le.o onig/enc/utf_8.o onig/enc/windows_1250.o onig/enc/windows_1251.o onig/enc/windows_1252.o onig/enc/windows_1253.o onig/enc/windows_1254.o onig/enc/windows_1257.o onig/enc/windows_31j.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpMOqe3G/R.INSTALL2ce5b62f0a24b6/ore/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-ore/00new/ore/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ore) begin installing package ‘ecodist’ * installing *source* package ‘geoscale’ ... ** package ‘geoscale’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (geoscale) begin installing package ‘poibin’ * installing *source* package ‘hgu133a.db’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hgu133a.db) begin installing package ‘Rmisc’ * installing *source* package ‘SIBER’ ... ** package ‘SIBER’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SIBER) begin installing package ‘sdpt3r’ * installing *source* package ‘KEGGdzPathwaysGEO’ ... ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (KEGGdzPathwaysGEO) begin installing package ‘EntropyEstimation’ * installing *source* package ‘ResidualMatrix’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ResidualMatrix) begin installing package ‘paran’ * installing *source* package ‘poibin’ ... ** package ‘poibin’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpi0udTa/R.INSTALL2cfc951b95de4a/poibin/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dftcf.c -o dftcf.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c poibin_init.c -o poibin_init.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o poibin.so dftcf.o poibin_init.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpi0udTa/R.INSTALL2cfc951b95de4a/poibin/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-poibin/00new/poibin/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (poibin) begin installing package ‘Hotelling’ * installing *source* package ‘Rmisc’ ... ** package ‘Rmisc’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rmisc) begin installing package ‘FSA’ * installing *source* package ‘Rarity’ ... ** package ‘Rarity’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rarity) begin installing package ‘coenocliner’ * installing *source* package ‘blockCV’ ... ** package ‘blockCV’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp1qjh4t/R.INSTALL2cf686a1ef18d/blockCV/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nndm.cpp -o nndm.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o blockCV.so RcppExports.o nndm.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp1qjh4t/R.INSTALL2cf686a1ef18d/blockCV/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-blockCV/00new/blockCV/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (blockCV) begin installing package ‘PERMANOVA’ * installing *source* package ‘paran’ ... ** package ‘paran’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (paran) begin installing package ‘DirichletReg’ * installing *source* package ‘EntropyEstimation’ ... ** package ‘EntropyEstimation’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpl9oLnw/R.INSTALL2cfda91ee9804e/EntropyEstimation/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c EntropEst.c -o EntropEst.o EntropEst.c: In function ‘KlSd’: EntropEst.c:143:25: warning: argument 1 range [18446744056529682424, 18446744073709551608] exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=] 143 | Sigma1 = (double **)malloc(sizeof(double*)*(len-1)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from EntropEst.c:7: /usr/include/stdlib.h:672:14: note: in a call to allocation function ‘malloc’ declared here 672 | extern void *malloc (size_t __size) __THROW __attribute_malloc__ | ^~~~~~ EntropEst.c: In function ‘SymSd’: EntropEst.c:243:25: warning: argument 1 range [18446744056529682424, 18446744073709551608] exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=] 243 | Sigma1 = (double **)malloc(sizeof(double*)*(len-1)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/stdlib.h:672:14: note: in a call to allocation function ‘malloc’ declared here 672 | extern void *malloc (size_t __size) __THROW __attribute_malloc__ | ^~~~~~ gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o EntropyEstimation.so EntropEst.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpl9oLnw/R.INSTALL2cfda91ee9804e/EntropyEstimation/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-EntropyEstimation/00new/EntropyEstimation/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (EntropyEstimation) begin installing package ‘fossil’ * installing *source* package ‘Hotelling’ ... ** package ‘Hotelling’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Hotelling) begin installing package ‘usdm’ * installing *source* package ‘coenocliner’ ... ** package ‘coenocliner’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (coenocliner) begin installing package ‘latentnet’ * installing *source* package ‘ggtern’ ... ** package ‘ggtern’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggtern) begin installing package ‘phylotate’ * installing *source* package ‘ecodist’ ... ** package ‘ecodist’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpTF83ro/R.INSTALL2cfc724f591518/ecodist/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ecodist.c -o ecodist.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o ecodist.so ecodist.o init.o -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpTF83ro/R.INSTALL2cfc724f591518/ecodist/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-ecodist/00new/ecodist/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ecodist) begin installing package ‘traits’ * installing *source* package ‘phylotate’ ... ** package ‘phylotate’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (phylotate) begin installing package ‘DECIPHER’ * installing *source* package ‘GET’ ... ** package ‘GET’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (GET) begin installing package ‘rgexf’ * installing *source* package ‘bluster’ ... ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpUvFmlc/R.INSTALL2ced276edcd068/bluster/src' g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c build_snn.cpp -o build_snn.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sum_neighbor_weights.cpp -o sum_neighbor_weights.o g++-14 -std=gnu++11 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o bluster.so RcppExports.o build_snn.o sum_neighbor_weights.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpUvFmlc/R.INSTALL2ced276edcd068/bluster/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-bluster/00new/bluster/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bluster) begin installing package ‘plink’ * installing *source* package ‘fossil’ ... ** package ‘fossil’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fossil) begin installing package ‘aSPU’ * installing *source* package ‘BIEN’ ... ** package ‘BIEN’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BIEN) begin installing package ‘LDRTools’ * installing *source* package ‘DirichletReg’ ... ** package ‘DirichletReg’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpHgcTby/R.INSTALL2cffe9550ca3f3/DirichletReg/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ddirichlet.c -o ddirichlet.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rdirichlet.c -o rdirichlet.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c wght_LL.c -o wght_LL.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c wght_LL_grad_alternative.c -o wght_LL_grad_alternative.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c wght_LL_grad_common.c -o wght_LL_grad_common.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o DirichletReg.so ddirichlet.o init.o rdirichlet.o wght_LL.o wght_LL_grad_alternative.o wght_LL_grad_common.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpHgcTby/R.INSTALL2cffe9550ca3f3/DirichletReg/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-DirichletReg/00new/DirichletReg/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DirichletReg) begin installing package ‘perm’ * installing *source* package ‘TrajectoryUtils’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (TrajectoryUtils) begin installing package ‘cenGAM’ * installing *source* package ‘adehabitatHR’ ... ** package ‘adehabitatHR’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpSQVbs3/R.INSTALL2cfbe33f7baf9/adehabitatHR/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tests.c -o tests.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o adehabitatHR.so init.o tests.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpSQVbs3/R.INSTALL2cfbe33f7baf9/adehabitatHR/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-adehabitatHR/00new/adehabitatHR/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (adehabitatHR) begin installing package ‘bestglm’ * installing *source* package ‘LDRTools’ ... ** package ‘LDRTools’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (LDRTools) begin installing package ‘shinyLP’ * installing *source* package ‘maxlike’ ... ** package ‘maxlike’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (maxlike) begin installing package ‘neonUtilities’ * installing *source* package ‘traits’ ... ** package ‘traits’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (traits) begin installing package ‘spider’ * installing *source* package ‘perm’ ... ** package ‘perm’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (perm) begin installing package ‘word2vec’ * installing *source* package ‘shinyLP’ ... ** package ‘shinyLP’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shinyLP) begin installing package ‘pcutils’ * installing *source* package ‘rgexf’ ... ** package ‘rgexf’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rgexf) begin installing package ‘ggtreeExtra’ * installing *source* package ‘FSA’ ... ** package ‘FSA’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (FSA) begin installing package ‘caper’ * installing *source* package ‘PERMANOVA’ ... ** package ‘PERMANOVA’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (PERMANOVA) begin installing package ‘maptpx’ * installing *source* package ‘iNEXT’ ... ** package ‘iNEXT’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmph9nJ7I/R.INSTALL2cfb4051602897/iNEXT/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c subfuns.cpp -o subfuns.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o iNEXT.so RcppExports.o subfuns.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmph9nJ7I/R.INSTALL2cfb4051602897/iNEXT/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-iNEXT/00new/iNEXT/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (iNEXT) begin installing package ‘predicts’ * installing *source* package ‘spider’ ... ** package ‘spider’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spider) begin installing package ‘smoothr’ * installing *source* package ‘aSPU’ ... ** package ‘aSPU’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (aSPU) begin installing package ‘genetics’ * installing *source* package ‘RcppML’ ... ** package ‘RcppML’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpt807UK/R.INSTALL2ce59066acc639/RcppML/src' g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DEIGEN_INITIALIZE_MATRICES_BY_ZERO -DEIGEN_NO_DEBUG -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter >’ 64 | T obj ; | ^~~ RcppExports.cpp:21:73: required from here 21 | Rcpp::traits::input_parameter< const Eigen::MatrixXd >::type w(wSEXP); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter >’ 64 | T obj ; | ^~~ RcppExports.cpp:21:73: required from here 21 | Rcpp::traits::input_parameter< const Eigen::MatrixXd >::type w(wSEXP); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/InputParameter.h:51:11: required from ‘class Rcpp::ReferenceInputParameter >’ 51 | T obj ; | ^~~ RcppExports.cpp:86:68: required from here 86 | Rcpp::traits::input_parameter< Eigen::VectorXd& >::type d(dSEXP); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DEIGEN_INITIALIZE_MATRICES_BY_ZERO -DEIGEN_NO_DEBUG -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppFunctions.cpp -o RcppFunctions.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from ../inst/include/RcppMLCommon.hpp:36, from ../inst/include/RcppML.hpp:11, from RcppFunctions.cpp:8: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/RcppML/bits.hpp:48:84: required from here 48 | Eigen::MatrixXd submat(const Eigen::MatrixXd& x, const Eigen::VectorXi& col_indices){ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/RcppML/bits.hpp:48:84: required from here 48 | Eigen::MatrixXd submat(const Eigen::MatrixXd& x, const Eigen::VectorXi& col_indices){ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ ../inst/include/RcppML/bits.hpp:51:11: required from here 51 | x_.col(i) = x.col(col_indices(i)); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ ../inst/include/RcppML/bits.hpp:51:22: required from here 51 | x_.col(i) = x.col(col_indices(i)); | ~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/RcppML/bits.hpp:55:107: required from here 55 | inline Eigen::VectorXd subvec(const Eigen::MatrixXd& b, const Eigen::VectorXi& ind, const unsigned int col) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/RcppML/bits.hpp:103:20: required from here 103 | x_reordered.row(i) = x.row(ind[i]); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/RcppML/bits.hpp:103:31: required from here 103 | x_reordered.row(i) = x.row(ind[i]); | ~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:24:39: required from here 24 | b -= a.col(i) * -h(i, sample); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:24:39: required from here 24 | b -= a.col(i) * -h(i, sample); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/RcppML/project.hpp:42:27: required from here 42 | const double a01b1 = a(0, 1) * b1; | ~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/RcppML/project.hpp:106:40: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/RcppML/project.hpp:107:15: required from here 107 | a.diagonal().array() += TINY_NUM; | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/RcppML/project.hpp:107:15: required from here 107 | a.diagonal().array() += TINY_NUM; | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:107:23: required from here 107 | a.diagonal().array() += TINY_NUM; | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/RcppML/project.hpp:122:17: required from here 122 | a.diagonal().array() += TINY_NUM; | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:122:25: required from here 122 | a.diagonal().array() += TINY_NUM; | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:128:50: required from here 128 | Eigen::VectorXd b = Eigen::VectorXd::Zero(h.rows()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:130:43: required from here 130 | b += it.value() * w.col(it.row()); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:131:29: required from here 131 | if (L1 != 0) b.array() -= L1; | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ ../inst/include/RcppML/project.hpp:133:31: required from here 133 | h.col(i) = a_llt.solve(b); | ~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:134:38: required from here 134 | if (nonneg && (h.col(i).array() < 0).any()) { | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:134:43: required from here 134 | if (nonneg && (h.col(i).array() < 0).any()) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/RcppML/project.hpp:136:27: required from here 136 | b -= a * h.col(i); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/RcppML/project.hpp:149:46: required from here 149 | Eigen::MatrixXd a = w_ * w_.transpose(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/RcppML/project.hpp:149:47: required from here 149 | Eigen::MatrixXd a = w_ * w_.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/RcppML/project.hpp:198:23: required from here 198 | b += w * A.col(i); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:247:25: required from here 247 | if (L1 != 0) w.array() -= L1; | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/RcppML/nmf.hpp:101:41: required from here 101 | sq_loss += wh_i.array().square().sum(); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ ../inst/include/RcppML/nmf.hpp:154:26: required from here 154 | d = w.rowwise().sum(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Block, -1, 1, true> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ RcppFunctions.cpp:259:31: required from here 259 | x.col(col) = a_llt.solve(b.col(col)); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::Matrix >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::Matrix >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::Matrix >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix, Eigen::Matrix >, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ RcppFunctions.cpp:264:38: required from here 264 | Eigen::MatrixXd asub = submat(a, gtz_ind, gtz_ind); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RcppFunctions.cpp:281:49: required from here 281 | b.col(col) -= a.col(i) * -x(i, col); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Scalar = double]’ 27 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:107:29: required from here 21 | #define TINY_NUM 1e-15 // epsilon for numerical stability | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Scalar = double]’ 27 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:107:29: required from here 21 | #define TINY_NUM 1e-15 // epsilon for numerical stability | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Scalar = double]’ 27 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:122:31: required from here 21 | #define TINY_NUM 1e-15 // epsilon for numerical stability | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50: required from ‘bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ 108 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:134:49: required from here 134 | if (nonneg && (h.col(i).array() < 0).any()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]’ 34 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:247:31: required from here 247 | if (L1 != 0) w.array() -= L1; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]’ 34 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:247:31: required from here 247 | if (L1 != 0) w.array() -= L1; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/include/RcppML/project.hpp:97:14: required from here 97 | h.setZero(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:43: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/nmf.hpp:101:47: required from here 101 | sq_loss += wh_i.array().square().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/nmf.hpp:134:24: required from here 134 | return losses.sum() / (h.cols() * w.cols()); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 358 | Block A11(m,k, k, bs,bs); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:130:43: required from here 130 | b += it.value() * w.col(it.row()); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/nmf.hpp:139:22: required from here 139 | w.row(1).swap(w.row(0)); | ~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/bits.hpp:103:38: required from here 103 | x_reordered.row(i) = x.row(ind[i]); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:149:47: required from here 149 | Eigen::MatrixXd a = w_ * w_.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:149:47: required from here 149 | Eigen::MatrixXd a = w_ * w_.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:149:47: required from here 149 | Eigen::MatrixXd a = w_ * w_.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:149:47: required from here 149 | Eigen::MatrixXd a = w_ * w_.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = false; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, 2, 2, -1, 1, false> >; Index = long int]’ 126 | Index pb_max_threads = std::max(1,size / Functor::Traits::nr); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 231 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 231 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 232 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 233 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:149:47: required from here 149 | Eigen::MatrixXd a = w_ * w_.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, 1, true>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/nmf.hpp:98:46: required from here 98 | Eigen::VectorXd wh_i = w0 * h.col(i); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, 2, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 2, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, 2, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 2, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, 2, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 2, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, 2, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:121:43: required from here 121 | Eigen::MatrixXd a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 289 | gebp_kernel(lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | blockA, blockB+j2*actual_kc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 291 | actual_mc, panelLength, actualPanelWidth, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 292 | Scalar(-1), | ~~~~~~~~~~~ 293 | actual_kc, actual_kc, // strides | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | panelOffset, panelOffset); // offsets | ~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | actualPanelWidth, actual_mc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 321 | actual_kc, j2); | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:149:47: required from here 149 | Eigen::MatrixXd a = w_ * w_.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:149:47: required from here 149 | Eigen::MatrixXd a = w_ * w_.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:149:47: required from here 149 | Eigen::MatrixXd a = w_ * w_.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:198:23: required from here 198 | b += w * A.col(i); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, 1, true>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/nmf.hpp:98:46: required from here 98 | Eigen::VectorXd wh_i = w0 * h.col(i); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ ../inst/include/RcppML/nmf.hpp:154:27: required from here 154 | d = w.rowwise().sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ ../inst/include/RcppML/nmf.hpp:154:27: required from here 154 | d = w.rowwise().sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’ 125 | Map >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:149:47: required from here 149 | Eigen::MatrixXd a = w_ * w_.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:198:23: required from here 198 | b += w * A.col(i); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, 1, true>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/nmf.hpp:98:46: required from here 98 | Eigen::VectorXd wh_i = w0 * h.col(i); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:121:43: required from here 121 | Eigen::MatrixXd a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, 2, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:198:23: required from here 198 | b += w * A.col(i); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 2, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 2, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, 2, false> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ 423 | : Base(other.derived()) | ^ ../inst/include/RcppML/project.hpp:106:41: required from here 106 | Eigen::Matrix2d a = w * w.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>; int Side = 1; int Mode = 2]’ 71 | triangular_solve_vector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:123:51: required from here 123 | Eigen::LLT a_llt = a.llt(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/RcppML/project.hpp:133:33: required from here 133 | h.col(i) = a_llt.solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++-14 -std=gnu++11 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o RcppML.so RcppExports.o RcppFunctions.o -fopenmp -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpt807UK/R.INSTALL2ce59066acc639/RcppML/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-RcppML/00new/RcppML/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppML) begin installing package ‘polysat’ * installing *source* package ‘sdpt3r’ ... ** package ‘sdpt3r’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpg3DhX3/R.INSTALL2cfce55fc50501/sdpt3r/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init.c -o R_init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c SuiteSparse_config.c -o SuiteSparse_config.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bwsolve.c -o bwsolve.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bwsolveWrapper.c -o bwsolveWrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c colamd.c -o colamd.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c colamd_global.c -o colamd_global.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c fwsolve.c -o fwsolve.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c fwsolveWrapper.c -o fwsolveWrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ops1.c -o ops1.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ops1Wrapper.c -o ops1Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ops3.c -o ops3.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ops3Wrapper.c -o ops3Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c prod1.c -o prod1.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c prod1Wrapper.c -o prod1Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c prod2.c -o prod2.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c prod2Wrapper.c -o prod2Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c realdot.c -o realdot.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c realdot1.c -o realdot1.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c realdot1Wrapper.c -o realdot1Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c realdot2.c -o realdot2.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c realdot22.c -o realdot22.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c realdot22Wrapper.c -o realdot22Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c realdotde.c -o realdotde.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c realdotdeWrapper.c -o realdotdeWrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c saxpymat.c -o saxpymat.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c saxpymatWrapper.c -o saxpymatWrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c schurij1.c -o schurij1.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c schurij1Wrapper.c -o schurij1Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c schurij2.c -o schurij2.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c schurij2Wrapper.c -o schurij2Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c schurij3.c -o schurij3.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c schurij3Wrapper.c -o schurij3Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c schurij4.c -o schurij4.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c schurij4Wrapper.c -o schurij4Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c setvec.c -o setvec.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c setvecWrapper.c -o setvecWrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c skron.c -o skron.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c skron2.c -o skron2.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c skron2Wrapper.c -o skron2Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c skronWrapper.c -o skronWrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c smat1.c -o smat1.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c smat1Wrapper.c -o smat1Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c smat1cmp.c -o smat1cmp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c smat2.c -o smat2.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c smat2Wrapper.c -o smat2Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c smat2cmp.c -o smat2cmp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c subscalarmul.c -o subscalarmul.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec1.c -o svec1.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec1Wrapper.c -o svec1Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec1cmp.c -o svec1cmp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec1cmpWrapper.c -o svec1cmpWrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec2.c -o svec2.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec2Wrapper.c -o svec2Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec2cmp.c -o svec2cmp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec2cmpWrapper.c -o svec2cmpWrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec3.c -o svec3.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec3Wrapper.c -o svec3Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec3cmp.c -o svec3cmp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec3cmpWrapper.c -o svec3cmpWrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec4.c -o svec4.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec4Wrapper.c -o svec4Wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec4cmp.c -o svec4cmp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svec4cmpWrapper.c -o svec4cmpWrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sym.c -o sym.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c symamdWrapper.c -o symamdWrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c symcmp.c -o symcmp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vec.c -o vec.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o sdpt3r.so R_init.o SuiteSparse_config.o bwsolve.o bwsolveWrapper.o colamd.o colamd_global.o fwsolve.o fwsolveWrapper.o ops1.o ops1Wrapper.o ops3.o ops3Wrapper.o prod1.o prod1Wrapper.o prod2.o prod2Wrapper.o realdot.o realdot1.o realdot1Wrapper.o realdot2.o realdot22.o realdot22Wrapper.o realdotde.o realdotdeWrapper.o saxpymat.o saxpymatWrapper.o schurij1.o schurij1Wrapper.o schurij2.o schurij2Wrapper.o schurij3.o schurij3Wrapper.o schurij4.o schurij4Wrapper.o setvec.o setvecWrapper.o skron.o skron2.o skron2Wrapper.o skronWrapper.o smat1.o smat1Wrapper.o smat1cmp.o smat2.o smat2Wrapper.o smat2cmp.o subscalarmul.o svec1.o svec1Wrapper.o svec1cmp.o svec1cmpWrapper.o svec2.o svec2Wrapper.o svec2cmp.o svec2cmpWrapper.o svec3.o svec3Wrapper.o svec3cmp.o svec3cmpWrapper.o svec4.o svec4Wrapper.o svec4cmp.o svec4cmpWrapper.o sym.o symamdWrapper.o symcmp.o vec.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpg3DhX3/R.INSTALL2cfce55fc50501/sdpt3r/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-sdpt3r/00new/sdpt3r/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sdpt3r) begin installing package ‘GeneralizedUmatrix’ * installing *source* package ‘neonUtilities’ ... ** package ‘neonUtilities’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (neonUtilities) begin installing package ‘FastKNN’ * installing *source* package ‘maptpx’ ... ** package ‘maptpx’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpbg9kdt/R.INSTALL2d055935461555/maptpx/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c latools.c -o latools.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rhelp.c -o rhelp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c topics.c -o topics.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o maptpx.so init.o latools.o rhelp.o topics.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpbg9kdt/R.INSTALL2d055935461555/maptpx/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-maptpx/00new/maptpx/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (maptpx) begin installing package ‘coop’ * installing *source* package ‘bestglm’ ... ** package ‘bestglm’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bestglm) begin installing package ‘harmony’ * installing *source* package ‘FastKNN’ ... ** package ‘FastKNN’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (FastKNN) begin installing package ‘runner’ * installing *source* package ‘caper’ ... ** package ‘caper’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (caper) begin installing package ‘mvMORPH’ * installing *source* package ‘vegan’ ... ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpWuVJYs/R.INSTALL2cf07455d10c93/vegan/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c data2hill.c -o data2hill.o gfortran-14 -fpic -g -O2 -Wall -mtune=native -c decorana.f -o decorana.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c getF.c -o getF.o getF.c: In function ‘do_getF’: getF.c:436:13: warning: ‘wperm’ may be used uninitialized [-Wmaybe-uninitialized] 436 | wcentre(Xorig, qr, wperm, &nr, &nx); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ getF.c:347:13: note: ‘wperm’ was declared here 347 | double *wperm, *Xorig, *Zorig, *Zperm, *qrwork, *zqrwork, qrtol=1e-7; | ^~~~~ getF.c:436:13: warning: ‘Xorig’ may be used uninitialized [-Wmaybe-uninitialized] 436 | wcentre(Xorig, qr, wperm, &nr, &nx); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ getF.c:347:21: note: ‘Xorig’ was declared here 347 | double *wperm, *Xorig, *Zorig, *Zperm, *qrwork, *zqrwork, qrtol=1e-7; | ^~~~~ getF.c:347:29: warning: ‘Zorig’ may be used uninitialized [-Wmaybe-uninitialized] 347 | double *wperm, *Xorig, *Zorig, *Zperm, *qrwork, *zqrwork, qrtol=1e-7; | ^~~~~ getF.c:347:37: warning: ‘Zperm’ may be used uninitialized [-Wmaybe-uninitialized] 347 | double *wperm, *Xorig, *Zorig, *Zperm, *qrwork, *zqrwork, qrtol=1e-7; | ^~~~~ In file included from /home/hornik/tmp/R-d-gcc-14/include/R.h:78, from getF.c:11: getF.c:446:22: warning: ‘qrwork’ may be used uninitialized [-Wmaybe-uninitialized] 446 | F77_CALL(dqrdc2)(qr, &nr, &nr, &nx, &qrtol, &qrank, | ^ /home/hornik/tmp/R-d-gcc-14/include/R_ext/RS.h:80:25: note: in definition of macro ‘F77_CALL’ 80 | # define F77_CALL(x) x ## _ | ^ getF.c:347:45: note: ‘qrwork’ was declared here 347 | double *wperm, *Xorig, *Zorig, *Zperm, *qrwork, *zqrwork, qrtol=1e-7; | ^~~~~~ getF.c:472:22: warning: ‘resid’ may be used uninitialized [-Wmaybe-uninitialized] 472 | F77_CALL(dqrsl)(qr, &nr, &nr, &qrank, qraux, rY + i*nr, &dummy, | ^ /home/hornik/tmp/R-d-gcc-14/include/R_ext/RS.h:80:25: note: in definition of macro ‘F77_CALL’ 80 | # define F77_CALL(x) x ## _ | ^ getF.c:335:13: note: ‘resid’ was declared here 335 | double *resid; | ^~~~~ getF.c:370:13: warning: ‘transY’ may be used uninitialized [-Wmaybe-uninitialized] 370 | double *transY; | ^~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c goffactor.c -o goffactor.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gfortran-14 -fpic -g -O2 -Wall -mtune=native -c monoMDS.f -o monoMDS.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c nestedness.c -o nestedness.o gfortran-14 -fpic -g -O2 -Wall -mtune=native -c ordering.f -o ordering.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pnpoly.c -o pnpoly.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c stepacross.c -o stepacross.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vegdist.c -o vegdist.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o vegan.so data2hill.o decorana.o getF.o goffactor.o init.o monoMDS.o nestedness.o ordering.o pnpoly.o stepacross.o vegdist.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpWuVJYs/R.INSTALL2cf07455d10c93/vegan/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-vegan/00new/vegan/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vegan) begin installing package ‘ParallelLogger’ * installing *source* package ‘genetics’ ... ** package ‘genetics’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (genetics) begin installing package ‘TESS’ * installing *source* package ‘TreeSummarizedExperiment’ ... ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (TreeSummarizedExperiment) begin installing package ‘distory’ * installing *source* package ‘ggtreeExtra’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggtreeExtra) begin installing package ‘dgof’ * installing *source* package ‘ParallelLogger’ ... ** package ‘ParallelLogger’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ParallelLogger) begin installing package ‘EMT’ * installing *source* package ‘coop’ ... ** package ‘coop’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpCG6xSP/R.INSTALL2d071a63d883de/coop/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_checks.c -o R_checks.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_naomit.c -o R_naomit.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_wrapper.c -o R_wrapper.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c coop_native.c -o coop_native.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dense.c -o dense.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dense_inplace.c -o dense_inplace.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dense_pairwise.c -o dense_pairwise.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c scale.c -o scale.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sparse.c -o sparse.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o coop.so R_checks.o R_naomit.o R_wrapper.o coop_native.o dense.o dense_inplace.o dense_pairwise.o scale.o sparse.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -fopenmp -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpCG6xSP/R.INSTALL2d071a63d883de/coop/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-coop/00new/coop/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (coop) begin installing package ‘mvnormtest’ * installing *source* package ‘latentnet’ ... ** package ‘latentnet’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpxP50Qi/R.INSTALL2d009e75b1c5e4/latentnet/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c P_alloc.c -o P_alloc.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ergmm_families.c -o ergmm_families.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ergmm_latent_effects.c -o ergmm_latent_effects.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ergmm_probs.c -o ergmm_probs.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ergmm_sampler.c -o ergmm_sampler.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ergmm_updaters.c -o ergmm_updaters.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ergmm_utils.c -o ergmm_utils.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c kl_switch.c -o kl_switch.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix_utils.c -o matrix_utils.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mbc_sampler.c -o mbc_sampler.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mvnorm.c -o mvnorm.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c post_predict.c -o post_predict.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c procrustes.c -o procrustes.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c wishart.c -o wishart.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o latentnet.so P_alloc.o ergmm_families.o ergmm_latent_effects.o ergmm_probs.o ergmm_sampler.o ergmm_updaters.o ergmm_utils.o init.o kl_switch.o matrix_utils.o mbc_sampler.o mvnorm.o post_predict.o procrustes.o wishart.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpxP50Qi/R.INSTALL2d009e75b1c5e4/latentnet/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-latentnet/00new/latentnet/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (latentnet) begin installing package ‘RGCCA’ * installing *source* package ‘pcutils’ ... ** package ‘pcutils’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pcutils) begin installing package ‘DendSer’ * installing *source* package ‘HardyWeinberg’ ... ** package ‘HardyWeinberg’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp0soI6r/R.INSTALL2cf8c03ca22f51/HardyWeinberg/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c HWxChromosomal.cpp -o HWxChromosomal.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c SNPHWEX.cpp -o SNPHWEX.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c support.cpp -o support.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o HardyWeinberg.so HWxChromosomal.o RcppExports.o SNPHWEX.o support.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp0soI6r/R.INSTALL2cf8c03ca22f51/HardyWeinberg/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-HardyWeinberg/00new/HardyWeinberg/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (HardyWeinberg) begin installing package ‘phyext2’ * installing *source* package ‘mvnormtest’ ... ** package ‘mvnormtest’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mvnormtest) begin installing package ‘bootSVD’ * installing *source* package ‘EMT’ ... ** package ‘EMT’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (EMT) begin installing package ‘RcppTN’ * installing *source* package ‘dgof’ ... ** package ‘dgof’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpYMpWYJ/R.INSTALL2d08f45c893f9a/dgof/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ks.c -o ks.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o dgof.so init.o ks.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpYMpWYJ/R.INSTALL2d08f45c893f9a/dgof/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-dgof/00new/dgof/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dgof) begin installing package ‘acepack’ * installing *source* package ‘bootSVD’ ... ** package ‘bootSVD’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bootSVD) begin installing package ‘cmaes’ * installing *source* package ‘DendSer’ ... ** package ‘DendSer’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpcOLh09/R.INSTALL2d099860c0701/DendSer/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c DendSer_init.c -o DendSer_init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c carct.c -o carct.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cbar.c -o cbar.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clpl.c -o clpl.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cpl.c -o cpl.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o DendSer.so DendSer_init.o carct.o cbar.o clpl.o cpl.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpcOLh09/R.INSTALL2d099860c0701/DendSer/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-DendSer/00new/DendSer/libs ** R ** demo ** byte-compile and prepare package for lazy loading Warning in seriation::set_criterion_method("dist", "BAR", criterion_method_dist_BAR, : Entry with name ‘BAR’ already exists! Modifying entry. ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DendSer) begin installing package ‘cordillera’ * installing *source* package ‘ChemmineR’ ... ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpMHIg3T/R.INSTALL2cf8797302818c/ChemmineR/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DNO_MAIN -DNO_DEBUG -fpic -g -O2 -Wall -pedantic -mtune=native -c DisjointSets.cpp -o DisjointSets.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DNO_MAIN -DNO_DEBUG -fpic -g -O2 -Wall -pedantic -mtune=native -c cluster.cc -o cluster.o cluster.cc: In function ‘int nbr_intersect(std::vector&, std::vector&)’: cluster.cc:118:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 118 | while (i < nbrs1.size() and j < nbrs2.size()) { | ~~^~~~~~~~~~~~~~ cluster.cc:118:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 118 | while (i < nbrs1.size() and j < nbrs2.size()) { | ~~^~~~~~~~~~~~~~ cluster.cc: In function ‘int contains(int, std::vector&)’: cluster.cc:131:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 131 | for(int i=0; i < list.size(); i++) | ~~^~~~~~~~~~~~~ cluster.cc: In function ‘DisjointSets cluster(int, int, int, int)’: cluster.cc:267:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 267 | for (int j = 0; j < nbr_list[i].size(); j ++) { | ~~^~~~~~~~~~~~~~~~~~~~ cluster.cc: In function ‘void loadNNMatrix(int, int, int, SEXP)’: cluster.cc:284:28: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 284 | for(unsigned i=0; i::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 298 | if(nbrs.size() < minNbrs) // will end up a singleton | ~~~~~~~~~~~~^~~~~~~~~ cluster.cc: In function ‘void loadNNList(int, int, SEXP)’: cluster.cc:314:28: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 314 | for(unsigned i=0; i::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 332 | if(nbrs.size() < minNbrs) // will end up a singleton | ~~~~~~~~~~~~^~~~~~~~~ cluster.cc: In function ‘SEXPREC* jarvis_patrick(SEXP, SEXP, SEXP, SEXP, SEXP)’: cluster.cc:390:28: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 390 | for(unsigned i=0; i::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/bind/mem_fn.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mem_fn.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/function/detail/prologue.hpp:19, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/function.hpp:30, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/detail/find_iterator.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/find_iterator.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:27, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:16, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string.hpp:23: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/get_pointer.hpp:48:40: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ In file included from /usr/include/c++/14/memory:78, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/function/function_base.hpp:34, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/function/detail/prologue.hpp:18: /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/assert.hpp:35, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:20, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:19, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size_type.hpp:20, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/functions.hpp:20, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/iterator_range_core.hpp:38: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept >, const char*>]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:81:13: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:65:52: warning: ‘this’ pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:26: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function ‘void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::token_finderF >; IteratorT = const char*]’ 40 | void constraints() | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:31: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from ‘struct boost::range_detail::IncrementableIteratorConcept’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = const char*]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: required from ‘bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range; SinglePassRange2 = boost::iterator_range]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/iterator_range_core.hpp:644:32: required from ‘bool boost::operator==(const iterator_range&, const iterator_range&) [with Iterator1T = const char*; Iterator2T = const char*]’ 644 | return boost::equal( l, r ); | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/find_iterator.hpp:359:32: required from ‘bool boost::algorithm::split_iterator::equal(const boost::algorithm::split_iterator&) const [with IteratorT = const char*]’ 359 | m_Match==Other.m_Match && | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:649:26: required from ‘static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator; Facade2 = boost::algorithm::split_iterator; mpl_::true_ = mpl_::bool_]’ 649 | return f1.equal(f2); | ~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:981:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator==(const iterator_facade&, const iterator_facade&) [with Derived1 = boost::algorithm::split_iterator; V1 = const boost::iterator_range; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range&; Difference1 = long int; Derived2 = boost::algorithm::split_iterator; V2 = const boost::iterator_range; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range&; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_adaptor.hpp:305:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = const char*]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = const char*]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = const char*]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = const char*]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, const char*>, boost::algorithm::split_iterator, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = const char*&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:50: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = const char*&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | Result, | ~~~~~~~ 160 | Input, | ~~~~~~ 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cstrsplit.cc:14:15: required from here 14 | boost::split(strs, line, boost::is_any_of("\t "),boost::token_compress_on); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DNO_MAIN -DNO_DEBUG -fpic -g -O2 -Wall -pedantic -mtune=native -c desc.cc -o desc.o desc.cc: In function ‘SEXPREC* genAPDescriptor(SEXP)’: desc.cc:249:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 249 | for(int i=0; i < descs.size(); i++) | ~~^~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DNO_MAIN -DNO_DEBUG -fpic -g -O2 -Wall -pedantic -mtune=native -c fingerprints.cc -o fingerprints.o fingerprints.cc: In function ‘SEXPREC* uniquifyAtomPairs(SEXP)’: fingerprints.cc:138:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 138 | for(int i=0; i < aps.size(); i++) | ~~^~~~~~~~~~~~ fingerprints.cc:145:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 145 | for(int i=0; i < aps.size(); i++){ | ~~^~~~~~~~~~~~ fingerprints.cc:158:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 158 | for(int i=0; i < aps.size(); i++){ | ~~^~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DNO_MAIN -DNO_DEBUG -fpic -g -O2 -Wall -pedantic -mtune=native -c formats.cc -o formats.o formats.cc: In function ‘int sdf_iter(std::fstream&, std::string&, int&)’: formats.cc:237:24: warning: ‘char* __builtin_strncpy(char*, const char*, long unsigned int)’ output may be truncated copying 4 bytes from a string of length 100001 [-Wstringop-truncation] 237 | strncpy(buf_4, line, 4); | ^ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DNO_MAIN -DNO_DEBUG -fpic -g -O2 -Wall -pedantic -mtune=native -c molecule.cc -o molecule.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DNO_MAIN -DNO_DEBUG -fpic -g -O2 -Wall -pedantic -mtune=native -c r_wrap.cc -o r_wrap.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DNO_MAIN -DNO_DEBUG -fpic -g -O2 -Wall -pedantic -mtune=native -c script.cc -o script.o In file included from script.cc:2: desc.h:39:13: warning: ‘elements’ defined but not used [-Wunused-variable] 39 | static char elements[112][3] = { | ^~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DNO_MAIN -DNO_DEBUG -fpic -g -O2 -Wall -pedantic -mtune=native -c similarity.cc -o similarity.o In file included from similarity.cc:1: desc.h:39:13: warning: ‘elements’ defined but not used [-Wunused-variable] 39 | static char elements[112][3] = { | ^~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o ChemmineR.so DisjointSets.o cluster.o cstrsplit.o desc.o fingerprints.o formats.o molecule.o r_wrap.o script.o similarity.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpMHIg3T/R.INSTALL2cf8797302818c/ChemmineR/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-ChemmineR/00new/ChemmineR/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ChemmineR) begin installing package ‘DiceOptim’ * installing *source* package ‘cmaes’ ... ** package ‘cmaes’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cmaes) begin installing package ‘minerva’ * installing *source* package ‘acepack’ ... ** package ‘acepack’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpw1MyBe/R.INSTALL2d0aa95b157db/acepack/src' gfortran-14 -fpic -g -O2 -Wall -mtune=native -c ace.f -o ace.o gfortran-14 -fpic -g -O2 -Wall -mtune=native -c avas.f -o avas.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gfortran-14 -fpic -g -O2 -Wall -mtune=native -c rlsmo.f -o rlsmo.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o acepack.so ace.o avas.o init.o rlsmo.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpw1MyBe/R.INSTALL2d0aa95b157db/acepack/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-acepack/00new/acepack/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (acepack) begin installing package ‘pomp’ * installing *source* package ‘cordillera’ ... ** package ‘cordillera’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cordillera) begin installing package ‘scagnostics’ * installing *source* package ‘cenGAM’ ... ** package ‘cenGAM’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cenGAM) begin installing package ‘PoissonBinomial’ * installing *source* package ‘distory’ ... ** package ‘distory’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp43WA7Y/R.INSTALL2d083639009964/distory/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c distory.c -o distory.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c newick.cpp -o newick.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phydist_r.cpp -o phydist_r.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c treedist-stripped.cpp -o treedist-stripped.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o distory.so distory.o newick.o phydist_r.o treedist-stripped.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp43WA7Y/R.INSTALL2d083639009964/distory/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-distory/00new/distory/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (distory) begin installing package ‘MPSEM’ * installing *source* package ‘scagnostics’ ... ** package ‘scagnostics’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (scagnostics) begin installing package ‘EnhancedVolcano’ * installing *source* package ‘phyext2’ ... ** package ‘phyext2’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (phyext2) begin installing package ‘ggpolypath’ * installing *source* package ‘plink’ ... ** package ‘plink’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (plink) begin installing package ‘TraMineRextras’ * installing *source* package ‘DiceOptim’ ... ** package ‘DiceOptim’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpheV0h3/R.INSTALL2d0bc23d3349d9/DiceOptim/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c davies.c -o davies.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c packagename_init.c -o packagename_init.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o DiceOptim.so davies.o packagename_init.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpheV0h3/R.INSTALL2d0bc23d3349d9/DiceOptim/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-DiceOptim/00new/DiceOptim/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DiceOptim) begin installing package ‘WeightedCluster’ * installing *source* package ‘phyclust’ ... ** package ‘phyclust’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpwNxTuw/R.INSTALL2cfa9b42ff92a/phyclust/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust.c -o R_phyclust.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_edist.c -o R_phyclust_edist.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_em_step.c -o R_phyclust_em_step.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_find_consensus.c -o R_phyclust_find_consensus.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_label.c -o R_phyclust_label.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_logL.c -o R_phyclust_logL.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_logPt.c -o R_phyclust_logPt.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_qmatrix.c -o R_phyclust_qmatrix.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_se.c -o R_phyclust_se.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_se_update.c -o R_phyclust_se_update.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_struct.c -o R_phyclust_struct.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_update.c -o R_phyclust_update.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c RRand.c -o RRand.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_RRand.c -o R_RRand.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c zzz.c -o zzz.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_ape_nj.c -o phyclust/phyclust_ape_nj.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_edist.c -o phyclust/phyclust_edist.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_em_control.c -o phyclust/phyclust_em_control.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_em_fp.c -o phyclust/phyclust_em_fp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_em_phyclust_struct.c -o phyclust/phyclust_em_phyclust_struct.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_em_step.c -o phyclust/phyclust_em_step.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_em_tool.c -o phyclust/phyclust_em_tool.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_file_input.c -o phyclust/phyclust_file_input.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_init_method.c -o phyclust/phyclust_init_method.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_init_method_ex.c -o phyclust/phyclust_init_method_ex.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_init_method_kmed.c -o phyclust/phyclust_init_method_kmed.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_init_method_nj.c -o phyclust/phyclust_init_method_nj.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_init_method_pam.c -o phyclust/phyclust_init_method_pam.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_init_procedure.c -o phyclust/phyclust_init_procedure.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_label.c -o phyclust/phyclust_label.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_logpL.c -o phyclust/phyclust_logpL.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_optim_nmmin.c -o phyclust/phyclust_optim_nmmin.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_pam.c -o phyclust/phyclust_pam.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_qmatrix_array.c -o phyclust/phyclust_qmatrix_array.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_qmatrix.c -o phyclust/phyclust_qmatrix.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_convolution_em_step.c -o phyclust/phyclust_se_convolution_em_step.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_convolution_em_tool.c -o phyclust/phyclust_se_convolution_em_tool.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_convolution_logpL.c -o phyclust/phyclust_se_convolution_logpL.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_em_fp.c -o phyclust/phyclust_se_em_fp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_em_phyclust_struct.c -o phyclust/phyclust_se_em_phyclust_struct.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_em_tool.c -o phyclust/phyclust_se_em_tool.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_pmatrix.c -o phyclust/phyclust_se_pmatrix.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_struct.c -o phyclust/phyclust_se_struct.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_struct.c -o phyclust/phyclust_struct.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_tool.c -o phyclust/phyclust_tool.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c msdir/ms.c -o msdir/ms.o msdir/ms.c: In function ‘gensam’: msdir/ms.c:291:4: warning: this ‘else’ clause does not guard... [-Wmisleading-indentation] 291 | else if( segsitesin > 0 ) { | ^~~~ msdir/ms.c:337:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘else’ 337 | free(seglst); | ^~~~ msdir/ms.c: In function ‘gasdev’: msdir/ms.c:1149:22: warning: variable ‘gset’ set but not used [-Wunused-but-set-variable] 1149 | static float gset; | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c msdir/ms_main.c -o msdir/ms_main.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c msdir/R_ms_main.c -o msdir/R_ms_main.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c msdir/R_rand.c -o msdir/R_rand.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c msdir/streec.c -o msdir/streec.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/aamodels.c -o seq-gen/aamodels.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/eigen.c -o seq-gen/eigen.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/evolve.c -o seq-gen/evolve.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/gamma.c -o seq-gen/gamma.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/global.c -o seq-gen/global.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/model.c -o seq-gen/model.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/nucmodels.c -o seq-gen/nucmodels.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/R_seq-gen_main.c -o seq-gen/R_seq-gen_main.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/seq-gen.c -o seq-gen/seq-gen.o seq-gen/seq-gen.c: In function ‘ReadFileParams’: seq-gen/seq-gen.c:715:15: warning: variable ‘i’ set but not used [-Wunused-but-set-variable] 715 | char *i; //WCC:add | ^ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/treefile.c -o seq-gen/treefile.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/twister.c -o seq-gen/twister.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c paml_baseml/baseml.c -o paml_baseml/baseml.o In file included from paml_baseml/baseml.c:130: paml_baseml/treesub.c: In function ‘ReadSeq’: paml_baseml/treesub.c:164:10: warning: variable ‘tmp_c’ set but not used [-Wunused-but-set-variable] 164 | char *tmp_c; | ^~~~~ paml_baseml/treesub.c:163:8: warning: variable ‘tmp’ set but not used [-Wunused-but-set-variable] 163 | int tmp; | ^~~ paml_baseml/treesub.c:160:9: warning: variable ‘str’ set but not used [-Wunused-but-set-variable] 160 | char str[4]=" "; | ^~~ paml_baseml/treesub.c:158:10: warning: variable ‘b’ set but not used [-Wunused-but-set-variable] 158 | int h,b[3]={0}; | ^ paml_baseml/treesub.c: In function ‘IdenticalSeqs’: paml_baseml/treesub.c:806:17: warning: variable ‘same’ set but not used [-Wunused-but-set-variable] 806 | int is,js,h, same,nkept=com.ns; | ^~~~ paml_baseml/treesub.c: In function ‘DistanceIJ’: paml_baseml/treesub.c:1709:16: warning: variable ‘missing’ set but not used [-Wunused-but-set-variable] 1709 | int h, n=4, missing=0; | ^~~~~~~ paml_baseml/treesub.c: In function ‘ReadTreeB’: paml_baseml/treesub.c:2393:10: warning: variable ‘tmp_c’ set but not used [-Wunused-but-set-variable] 2393 | char *tmp_c; //WCC:add | ^~~~~ paml_baseml/treesub.c:2392:8: warning: variable ‘tmp’ set but not used [-Wunused-but-set-variable] 2392 | int tmp; //WCC:add | ^~~ paml_baseml/treesub.c: In function ‘ReadTreeN’: paml_baseml/treesub.c:2601:10: warning: variable ‘tmp_c’ set but not used [-Wunused-but-set-variable] 2601 | char *tmp_c; //WCC:add | ^~~~~ paml_baseml/treesub.c:2600:8: warning: variable ‘tmp’ set but not used [-Wunused-but-set-variable] 2600 | int tmp; //WCC:add | ^~~ paml_baseml/treesub.c: In function ‘GetInitialsTimes’: paml_baseml/treesub.c:3417:10: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 3417 | for(i=0; iUNREST) GetStepMatrix(line); break; | ^~ paml_baseml/baseml.c:879:62: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’ 879 | if(com.model>UNREST) GetStepMatrix(line); break; | ^~~~~ paml_baseml/baseml.c: In function ‘SetxBound’: paml_baseml/paml.h:20:18: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 20 | #define FOR(i,n) for(i=0; iNext = PrevVMinJ->Next->Next; /* REMOVE COLUMN FROM LIST */ | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ emd-rubner.c: In function ‘emd_rubner’: emd-rubner.c:814:36: note: ‘PrevVMinJ’ was declared here 814 | node1_t *PrevUMinI = PrevUMinI, *PrevVMinJ, *Remember; | ^~~~~~~~~ In function ‘isOptimal’, inlined from ‘emd_rubner’ at emd-rubner.c:220:8: emd-rubner.c:626:15: warning: ‘minI’ may be used uninitialized [-Wmaybe-uninitialized] 626 | _EnterX->i = minI; | ~~~~~~~~~~~^~~~~~ emd-rubner.c: In function ‘emd_rubner’: emd-rubner.c:602:13: note: ‘minI’ was declared here 602 | int i, j, minI, minJ; | ^~~~ In function ‘isOptimal’, inlined from ‘emd_rubner’ at emd-rubner.c:220:8: emd-rubner.c:627:15: warning: ‘minJ’ may be used uninitialized [-Wmaybe-uninitialized] 627 | _EnterX->j = minJ; | ~~~~~~~~~~~^~~~~~ emd-rubner.c: In function ‘emd_rubner’: emd-rubner.c:602:19: note: ‘minJ’ was declared here 602 | int i, j, minI, minJ; | ^~~~ In function ‘newSol’, inlined from ‘emd_rubner’ at emd-rubner.c:224:4: emd-rubner.c:690:8: warning: ‘LeaveX’ may be used uninitialized [-Wmaybe-uninitialized] 690 | if (_RowsX[i] == LeaveX) | ^ emd-rubner.c: In function ‘emd_rubner’: emd-rubner.c:645:21: note: ‘LeaveX’ was declared here 645 | node2_t *CurX, *LeaveX; | ^~~~~~ emd-rubner.c:254:23: warning: ‘FlowP’ may be used uninitialized [-Wmaybe-uninitialized] 254 | FlowP->from = XP->i; | ~~~~~~~~~~~~^~~~~~~ emd-rubner.c:197:11: note: ‘FlowP’ was declared here 197 | flow_t *FlowP; | ^~~~~ gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o emdist.so dummy.o emd-r.o emd-rubner.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpMRULhF/R.INSTALL2d16da5b822a85/emdist/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-emdist/00new/emdist/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (emdist) begin installing package ‘ComplexUpset’ * installing *source* package ‘WeightedCluster’ ... ** package ‘WeightedCluster’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpbZQ3MG/R.INSTALL2d0f2c23a30563/WeightedCluster/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PAM.cpp -o PAM.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PAMonce.cpp -o PAMonce.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PAMoncebody.cpp -o PAMoncebody.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cluster.cpp -o cluster.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c clusterquality.cpp -o clusterquality.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c clusterqualitybody.cpp -o clusterqualitybody.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c kmedoid.cpp -o kmedoid.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c kmedoidbase.cpp -o kmedoidbase.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c kmedoidbasebody.cpp -o kmedoidbasebody.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c kmedoidbody.cpp -o kmedoidbody.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o WeightedCluster.so PAM.o PAMonce.o PAMoncebody.o cluster.o clusterquality.o clusterqualitybody.o init.o kmedoid.o kmedoidbase.o kmedoidbasebody.o kmedoidbody.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpbZQ3MG/R.INSTALL2d0f2c23a30563/WeightedCluster/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-WeightedCluster/00new/WeightedCluster/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (WeightedCluster) begin installing package ‘gghalves’ * installing *source* package ‘mvMORPH’ ... ** package ‘mvMORPH’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpNSklqB/R.INSTALL2d07c86de95e60/mvMORPH/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c chol_rpf_row.c -o chol_rpf_row.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c chol_rpf_univ.c -o chol_rpf_univ.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c covar-matrix-simmap.c -o covar-matrix-simmap.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c givens.c -o givens.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c kronecker.c -o kronecker.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mvMORPH_init.c -o mvMORPH_init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mvmorph-covar-mat.c -o mvmorph-covar-mat.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mvmorph-covar-ou-sparse.c -o mvmorph-covar-ou-sparse.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mvmorph-covar-ou.c -o mvmorph-covar-ou.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mvmorph_ou_mat_rpf.c -o mvmorph_ou_mat_rpf.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pic_loglik_mvmorph.c -o pic_loglik_mvmorph.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c quadprod.c -o quadprod.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c root2tip.c -o root2tip.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c spherical.c -o spherical.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sqrtMat.c -o sqrtMat.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c time_serie_expectation.c -o time_serie_expectation.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c weight-matrix-mvmorph.c -o weight-matrix-mvmorph.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o mvMORPH.so chol_rpf_row.o chol_rpf_univ.o covar-matrix-simmap.o givens.o kronecker.o mvMORPH_init.o mvmorph-covar-mat.o mvmorph-covar-ou-sparse.o mvmorph-covar-ou.o mvmorph_ou_mat_rpf.o pic_loglik_mvmorph.o quadprod.o root2tip.o spherical.o sqrtMat.o time_serie_expectation.o utils.o weight-matrix-mvmorph.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpNSklqB/R.INSTALL2d07c86de95e60/mvMORPH/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-mvMORPH/00new/mvMORPH/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mvMORPH) * installing *source* package ‘roxyglobals’ ... ** package ‘roxyglobals’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (roxyglobals) begin installing package ‘ggVennDiagram’ begin installing package ‘glmulti’ * installing *source* package ‘DAAG’ ... ** package ‘DAAG’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DAAG) begin installing package ‘indicspecies’ * installing *source* package ‘pgirmess’ ... ** package ‘pgirmess’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pgirmess) begin installing package ‘treemapify’ * installing *source* package ‘minerva’ ... ** package ‘minerva’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpUq55YE/R.INSTALL2d0c0e6d49ba5a/minerva/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mine.c -o mine.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mine_int.cpp -o mine_int.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mine_interface.c -o mine_interface.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o minerva.so RcppExports.o mine.o mine_int.o mine_interface.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpUq55YE/R.INSTALL2d0c0e6d49ba5a/minerva/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-minerva/00new/minerva/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (minerva) begin installing package ‘venneuler’ * installing *source* package ‘untb’ ... ** package ‘untb’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading No methods found in package ‘Brobdingnag’ for request: ‘sum’ when loading ‘untb’ ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location No methods found in package ‘Brobdingnag’ for request: ‘sum’ when loading ‘untb’ ** testing if installed package can be loaded from final location No methods found in package ‘Brobdingnag’ for request: ‘sum’ when loading ‘untb’ ** testing if installed package keeps a record of temporary installation path * DONE (untb) begin installing package ‘mlpack’ * installing *source* package ‘PoissonBinomial’ ... ** package ‘PoissonBinomial’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpIeJfk5/R.INSTALL2d0d44f3ce32a/PoissonBinomial/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -I/usr/local/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PoissonBinomial.cpp -o PoissonBinomial.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -I/usr/local/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o PoissonBinomial.so PoissonBinomial.o RcppExports.o -L/usr/local/lib -lfftw3 -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpIeJfk5/R.INSTALL2d0d44f3ce32a/PoissonBinomial/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-PoissonBinomial/00new/PoissonBinomial/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (PoissonBinomial) begin installing package ‘relaimpo’ * installing *source* package ‘ecotraj’ ... ** package ‘ecotraj’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpRXrEjz/R.INSTALL2d144a4f79d6ee/ecotraj/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c trajectories.cpp -o trajectories.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o ecotraj.so RcppExports.o trajectories.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpRXrEjz/R.INSTALL2d144a4f79d6ee/ecotraj/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-ecotraj/00new/ecotraj/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ecotraj) begin installing package ‘voronoiTreemap’ * installing *source* package ‘hypervolume’ ... ** package ‘hypervolume’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpC4i0pe/R.INSTALL2cf50518838fe6/hypervolume/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/progress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/progress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c convert.cpp -o convert.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/progress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastPdist2.cpp -o fastPdist2.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o hypervolume.so RcppExports.o convert.o fastPdist2.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpC4i0pe/R.INSTALL2cf50518838fe6/hypervolume/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-hypervolume/00new/hypervolume/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hypervolume) begin installing package ‘phaseR’ * installing *source* package ‘venneuler’ ... ** package ‘venneuler’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (venneuler) begin installing package ‘GSA’ * installing *source* package ‘mixture’ ... ** package ‘mixture’ successfully unpacked and MD5 sums checked ** using staged installation checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C++ compiler... yes checking whether g++-14 -std=gnu++17 accepts -g... yes checking how to run the C++ preprocessor... g++-14 -std=gnu++17 -E checking for g++-14 -std=gnu++17 option to support OpenMP... -fopenmp checking for gsl-config... /usr/bin/gsl-config configure: creating ./config.status config.status: creating src/Makevars ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp8O8hEu/R.INSTALL2ce5be626e5275/mixture/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -fopenmp -DARMA_64BIT_WORD -I/usr/include -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -fopenmp -DARMA_64BIT_WORD -I/usr/include -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pcm.cpp -o pcm.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o mixture.so RcppExports.o pcm.o -fopenmp -L/usr/lib/x86_64-linux-gnu -lgsl -lgslcblas -lm -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp8O8hEu/R.INSTALL2ce5be626e5275/mixture/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-mixture/00new/mixture/libs ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mixture) begin installing package ‘safe’ * installing *source* package ‘word2vec’ ... ** package ‘word2vec’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp9BHvoW/R.INSTALL2d040e1e7d8fd1/word2vec/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -I./word2vec/include -I./word2vec/lib -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppProgress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c word2vec/lib/huffmanTree.cpp -o word2vec/lib/huffmanTree.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -I./word2vec/include -I./word2vec/lib -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppProgress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c word2vec/lib/mapper.cpp -o word2vec/lib/mapper.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -I./word2vec/include -I./word2vec/lib -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppProgress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c word2vec/lib/nsDistribution.cpp -o word2vec/lib/nsDistribution.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -I./word2vec/include -I./word2vec/lib -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppProgress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c word2vec/lib/trainer.cpp -o word2vec/lib/trainer.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -I./word2vec/include -I./word2vec/lib -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppProgress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c word2vec/lib/trainThread.cpp -o word2vec/lib/trainThread.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -I./word2vec/include -I./word2vec/lib -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppProgress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c word2vec/lib/vocabulary.cpp -o word2vec/lib/vocabulary.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -I./word2vec/include -I./word2vec/lib -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppProgress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c word2vec/lib/word2vec.cpp -o word2vec/lib/word2vec.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -I./word2vec/include -I./word2vec/lib -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppProgress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_word2vec.cpp -o rcpp_word2vec.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -I./word2vec/include -I./word2vec/lib -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppProgress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o word2vec.so word2vec/lib/huffmanTree.o word2vec/lib/mapper.o word2vec/lib/nsDistribution.o word2vec/lib/trainer.o word2vec/lib/trainThread.o word2vec/lib/vocabulary.o word2vec/lib/word2vec.o rcpp_word2vec.o RcppExports.o -pthread -L/home/hornik/tmp/R-d-gcc-14/lib -lR rm -f word2vec/lib/huffmanTree.o word2vec/lib/mapper.o word2vec/lib/nsDistribution.o word2vec/lib/trainer.o word2vec/lib/trainThread.o word2vec/lib/vocabulary.o word2vec/lib/word2vec.o rcpp_word2vec.o RcppExports.o make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp9BHvoW/R.INSTALL2d040e1e7d8fd1/word2vec/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-word2vec/00new/word2vec/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (word2vec) begin installing package ‘rSEA’ * installing *source* package ‘pomp’ ... ** package ‘pomp’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpXmIDNc/R.INSTALL2d0c4942017487/pomp/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bspline.c -o bspline.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dinit.c -o dinit.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c distributions.c -o distributions.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dmeasure.c -o dmeasure.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dprior.c -o dprior.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dprocess.c -o dprocess.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c emeasure.c -o emeasure.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c euler.c -o euler.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gompertz.c -o gompertz.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c logmeanexp.c -o logmeanexp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c lookup_table.c -o lookup_table.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mif2.c -o mif2.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ou2.c -o ou2.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c partrans.c -o partrans.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pfilter.c -o pfilter.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pomp_fun.c -o pomp_fun.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c probe.c -o probe.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c probe_acf.c -o probe_acf.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c probe_marginal.c -o probe_marginal.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c probe_nlar.c -o probe_nlar.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c resample.c -o resample.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rinit.c -o rinit.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rmeasure.c -o rmeasure.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rprior.c -o rprior.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rprocess.c -o rprocess.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c simulate.c -o simulate.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c skeleton.c -o skeleton.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sobolseq.c -o sobolseq.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ssa.c -o ssa.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c synth_lik.c -o synth_lik.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c trajectory.c -o trajectory.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c transformations.c -o transformations.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c userdata.c -o userdata.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vmeasure.c -o vmeasure.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c wpfilter.c -o wpfilter.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o pomp.so bspline.o dinit.o distributions.o dmeasure.o dprior.o dprocess.o emeasure.o euler.o gompertz.o init.o logmeanexp.o lookup_table.o mif2.o ou2.o partrans.o pfilter.o pomp_fun.o probe.o probe_acf.o probe_marginal.o probe_nlar.o resample.o rinit.o rmeasure.o rprior.o rprocess.o simulate.o skeleton.o sobolseq.o ssa.o synth_lik.o trajectory.o transformations.o userdata.o vmeasure.o wpfilter.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpXmIDNc/R.INSTALL2d0c4942017487/pomp/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-pomp/00new/pomp/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pomp) begin installing package ‘landscapemetrics’ * installing *source* package ‘emdbook’ ... ** package ‘emdbook’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (emdbook) begin installing package ‘NatureSounds’ * installing *source* package ‘PearsonDS’ ... ** package ‘PearsonDS’ successfully unpacked and MD5 sums checked ** using staged installation checking whether x86 FPU control code is needed... yes checking for gcc... gcc-14 checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether gcc-14 accepts -g... yes checking for gcc-14 option to accept ISO C89... none needed checking for usable _FPU_SETCW... yes checking for usable fpsetprec... no checking for usable _controlfp... no checking for usable _controlfp_s... no checking whether FPU control word can be manipulated by inline assembler... yes configure: creating ./config.status config.status: creating src/config.h ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmptc3kZO/R.INSTALL2d185218508179/PearsonDS/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Complex.c -o Complex.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c DoubleDouble.c -o DoubleDouble.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c F21.c -o F21.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c F21DD.c -o F21DD.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c F21QD.c -o F21QD.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c QuadDouble.c -o QuadDouble.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pearson.c -o pearson.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pearsonIV.c -o pearsonIV.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o PearsonDS.so Complex.o DoubleDouble.o F21.o F21DD.o F21QD.o QuadDouble.o pearson.o pearsonIV.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmptc3kZO/R.INSTALL2d185218508179/PearsonDS/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-PearsonDS/00new/PearsonDS/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (PearsonDS) begin installing package ‘ddpcr’ * installing *source* package ‘treemapify’ ... ** package ‘treemapify’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (treemapify) begin installing package ‘inflection’ * installing *source* package ‘gghalves’ ... ** package ‘gghalves’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gghalves) begin installing package ‘Rphylopars’ * installing *source* package ‘indicspecies’ ... ** package ‘indicspecies’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (indicspecies) begin installing package ‘poilog’ * installing *source* package ‘voronoiTreemap’ ... ** package ‘voronoiTreemap’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (voronoiTreemap) begin installing package ‘GUILDS’ * installing *source* package ‘GSA’ ... ** package ‘GSA’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (GSA) begin installing package ‘aqp’ * installing *source* package ‘ComplexUpset’ ... ** package ‘ComplexUpset’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ComplexUpset) begin installing package ‘daymetr’ * installing *source* package ‘phaseR’ ... ** package ‘phaseR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (phaseR) begin installing package ‘Evapotranspiration’ * installing *source* package ‘mefa4’ ... ** package ‘mefa4’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading Note: ... may be used in an incorrect context ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mefa4) begin installing package ‘SoilTaxonomy’ * installing *source* package ‘ecespa’ ... ** package ‘ecespa’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpmC5I8Q/R.INSTALL2d176d4fa0407c/ecespa/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gfortran-14 -fpic -g -O2 -Wall -mtune=native -c syrjalala.f -o syrjalala.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c wrp.c -o wrp.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o ecespa.so init.o syrjalala.o wrp.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpmC5I8Q/R.INSTALL2d176d4fa0407c/ecespa/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-ecespa/00new/ecespa/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ecespa) begin installing package ‘ips’ * installing *source* package ‘ggVennDiagram’ ... ** package ‘ggVennDiagram’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggVennDiagram) begin installing package ‘meanShiftR’ * installing *source* package ‘glmulti’ ... ** package ‘glmulti’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading in method for ‘getfit’ with signature ‘object="coxph"’: no definition for class “coxph” in method for ‘getfit’ with signature ‘object="coxph.null"’: no definition for class “coxph.null” ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glmulti) begin installing package ‘smirnov’ * installing *source* package ‘inflection’ ... ** package ‘inflection’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (inflection) begin installing package ‘tapkee’ * installing *source* package ‘GeneralizedUmatrix’ ... ** package ‘GeneralizedUmatrix’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpuXR7E0/R.INSTALL2d065f2c5cc36d/GeneralizedUmatrix/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Delta3DWeightsC.cpp -o Delta3DWeightsC.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c addRowWiseC.cpp -o addRowWiseC.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c trainstepC.cpp -o trainstepC.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c trainstepC2.cpp -o trainstepC2.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb.h:32, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel/TBB.h:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel.h:24, from trainstepC2.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o GeneralizedUmatrix.so Delta3DWeightsC.o RcppExports.o addRowWiseC.o trainstepC.o trainstepC2.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpuXR7E0/R.INSTALL2d065f2c5cc36d/GeneralizedUmatrix/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-GeneralizedUmatrix/00new/GeneralizedUmatrix/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (GeneralizedUmatrix) begin installing package ‘ggstance’ * installing *source* package ‘NatureSounds’ ... ** package ‘NatureSounds’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (NatureSounds) begin installing package ‘ccaPP’ * installing *source* package ‘poilog’ ... ** package ‘poilog’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpIAaQz8/R.INSTALL2d1fa53e78a8b2/poilog/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bipoilog_s_cint.c -o bipoilog_s_cint.o bipoilog_s_cint.c:24:30: warning: missing braces around initializer [-Wmissing-braces] 24 | R_CMethodDef cMethods[] = { | ^ gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o poilog.so bipoilog_s_cint.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpIAaQz8/R.INSTALL2d1fa53e78a8b2/poilog/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-poilog/00new/poilog/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (poilog) begin installing package ‘spocc’ * installing *source* package ‘daymetr’ ... ** package ‘daymetr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (daymetr) begin installing package ‘BAT’ * installing *source* package ‘smirnov’ ... ** package ‘smirnov’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (smirnov) begin installing package ‘strap’ * installing *source* package ‘tapkee’ ... ** package ‘tapkee’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tapkee) begin installing package ‘ShortRead’ * installing *source* package ‘meanShiftR’ ... ** package ‘meanShiftR’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpXVE3Tf/R.INSTALL2d20c1104c47f9/meanShiftR/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c kdtree.c -o kdtree.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c meanShift.c -o meanShift.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c median.c -o median.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o meanShiftR.so init.o kdtree.o meanShift.o median.o -fopenmp -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpXVE3Tf/R.INSTALL2d20c1104c47f9/meanShiftR/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-meanShiftR/00new/meanShiftR/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (meanShiftR) begin installing package ‘tkWidgets’ * installing *source* package ‘rSEA’ ... ** package ‘rSEA’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rSEA) begin installing package ‘statsExpressions’ * installing *source* package ‘SpadeR’ ... ** package ‘SpadeR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SpadeR) begin installing package ‘MultiAssayExperiment’ * installing *source* package ‘SoilTaxonomy’ ... ** package ‘SoilTaxonomy’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SoilTaxonomy) begin installing package ‘scater’ * installing *source* package ‘ddpcr’ ... ** package ‘ddpcr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ddpcr) begin installing package ‘poppr’ * installing *source* package ‘ggstance’ ... ** package ‘ggstance’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggstance) begin installing package ‘ALDEx2’ * installing *source* package ‘runner’ ... ** package ‘runner’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpafH27s/R.INSTALL2d079c567f6cca/runner/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fill_run.cpp -o fill_run.o In file included from fill_run.cpp:3: fill_run.h: In function ‘int fill::run_for_non_na(const Rcpp::Vector&, int)’: fill_run.h:10:5: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 10 | for(int j=i; j < n; j++) | ^~~ fill_run.h:14:7: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 14 | return first_non_na; | ^~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c lag_run.cpp -o lag_run.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c length_run.cpp -o length_run.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c minmax_run.cpp -o minmax_run.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c runner.cpp -o runner.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o runner.so RcppExports.o fill_run.o lag_run.o length_run.o minmax_run.o runner.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpafH27s/R.INSTALL2d079c567f6cca/runner/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-runner/00new/runner/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (runner) begin installing package ‘BiodiversityR’ * installing *source* package ‘strap’ ... ** package ‘strap’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (strap) begin installing package ‘vegan3d’ * installing *source* package ‘relaimpo’ ... ** package ‘relaimpo’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (relaimpo) begin installing package ‘envirem’ * installing *source* package ‘statsExpressions’ ... ** package ‘statsExpressions’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (statsExpressions) begin installing package ‘entropart’ * installing *source* package ‘spocc’ ... ** package ‘spocc’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spocc) begin installing package ‘fmcsR’ * installing *source* package ‘GUILDS’ ... ** package ‘GUILDS’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpZlQPLA/R.INSTALL2d1fc21061d8d/GUILDS/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c KDA_R.cpp -o KDA_R.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o GUILDS.so KDA_R.o RcppExports.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpZlQPLA/R.INSTALL2d1fc21061d8d/GUILDS/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-GUILDS/00new/GUILDS/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (GUILDS) begin installing package ‘GUniFrac’ * installing *source* package ‘Evapotranspiration’ ... ** package ‘Evapotranspiration’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Evapotranspiration) begin installing package ‘SRS’ * installing *source* package ‘tkWidgets’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tkWidgets) begin installing package ‘TSCAN’ * installing *source* package ‘ips’ ... ** package ‘ips’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ips) begin installing package ‘castor’ * installing *source* package ‘RcppTN’ ... ** package ‘RcppTN’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpIDaXPt/R.INSTALL2d0a997ed82256/RcppTN/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppTN_init.cpp -o RcppTN_init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c check1.cpp -o check1.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dtn.cpp -o dtn.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dtn1.cpp -o dtn1.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dtnRcpp.cpp -o dtnRcpp.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c enttn.cpp -o enttn.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c enttn1.cpp -o enttn1.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c enttnRcpp.cpp -o enttnRcpp.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c etn.cpp -o etn.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c etn1.cpp -o etn1.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c etnRcpp.cpp -o etnRcpp.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rtn.cpp -o rtn.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rtn1.cpp -o rtn1.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rtnRcpp.cpp -o rtnRcpp.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vtn.cpp -o vtn.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vtn1.cpp -o vtn1.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vtnRcpp.cpp -o vtnRcpp.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o RcppTN.so RcppTN_init.o check1.o dtn.o dtn1.o dtnRcpp.o enttn.o enttn1.o enttnRcpp.o etn.o etn1.o etnRcpp.o rtn.o rtn1.o rtnRcpp.o vtn.o vtn1.o vtnRcpp.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpIDaXPt/R.INSTALL2d0a997ed82256/RcppTN/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-RcppTN/00new/RcppTN/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppTN) begin installing package ‘SSP’ * installing *source* package ‘icosa’ ... ** package ‘icosa’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp9DZpCp/R.INSTALL2d12e4405500da/icosa/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PointInTetra.cpp -o PointInTetra.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RccpSource_.cpp -o RccpSource_.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Rccp_coordinateFlattening.cpp -o Rccp_coordinateFlattening.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c plottingMatrices.cpp -o plottingMatrices.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o icosa.so PointInTetra.o RccpSource_.o Rccp_coordinateFlattening.o RcppExports.o init.o plottingMatrices.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp9DZpCp/R.INSTALL2d12e4405500da/icosa/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-icosa/00new/icosa/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading in method for ‘OccupiedFaces’ with signature ‘"trigrid","SpatRaster"’: no definition for class “SpatRaster” in method for ‘vertices’ with signature ‘"facelayer"’: no definition for class “facelayer” in method for ‘faces’ with signature ‘"gridlayer"’: no definition for class “gridlayer” in method for ‘edges’ with signature ‘"facelayer"’: no definition for class “facelayer” in method for ‘centers’ with signature ‘"facelayer"’: no definition for class “facelayer” in method for ‘resample’ with signature ‘"SpatRaster","trigrid"’: no definition for class “SpatRaster” Creating a generic function for ‘sd’ from package ‘stats’ in package ‘icosa’ in method for ‘[’ with signature ‘"gridlayer","SpatExtent","missing"’: no definition for class “SpatExtent” in method for ‘resample’ with signature ‘"facelayer","SpatRaster"’: no definition for class “SpatRaster” ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (icosa) begin installing package ‘vegclust’ * installing *source* package ‘harmony’ ... ** package ‘harmony’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpkNDt39/R.INSTALL2d072257d36dc2/harmony/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppProgress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppProgress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c harmony.cpp -o harmony.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppProgress/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cpp -o utils.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o harmony.so RcppExports.o harmony.o utils.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpkNDt39/R.INSTALL2d072257d36dc2/harmony/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-harmony/00new/harmony/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (harmony) begin installing package ‘corehunter’ * installing *source* package ‘vegan3d’ ... ** package ‘vegan3d’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vegan3d) begin installing package ‘vegdata’ * installing *source* package ‘safe’ ... ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (safe) begin installing package ‘StereoMorph’ * installing *source* package ‘corehunter’ ... ** package ‘corehunter’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (corehunter) begin installing package ‘ecr’ * installing *source* package ‘SRS’ ... ** package ‘SRS’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SRS) begin installing package ‘grapherator’ * installing *source* package ‘entropart’ ... ** package ‘entropart’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (entropart) begin installing package ‘sads’ * installing *source* package ‘vegclust’ ... ** package ‘vegclust’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vegclust) begin installing package ‘geomorph’ * installing *source* package ‘SSP’ ... ** package ‘SSP’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SSP) begin installing package ‘iCAMP’ * installing *source* package ‘aqp’ ... ** package ‘aqp’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading in method for ‘coerce’ with signature ‘"SoilProfileCollection","tbl_df"’: no definition for class “tbl_df” in method for ‘coerce’ with signature ‘"SoilProfileCollection","sf"’: no definition for class “sf” Creating a generic function for ‘nrow’ from package ‘base’ in package ‘aqp’ ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (aqp) begin installing package ‘rioja’ * installing *source* package ‘vegdata’ ... ** package ‘vegdata’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vegdata) begin installing package ‘analogue’ * installing *source* package ‘envirem’ ... ** package ‘envirem’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (envirem) begin installing package ‘RNiftyReg’ * installing *source* package ‘grapherator’ ... ** package ‘grapherator’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (grapherator) begin installing package ‘SYNCSA’ * installing *source* package ‘mvabund’ ... ** package ‘mvabund’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpI0olQ9/R.INSTALL2d14f81846326f/mvabund/src' g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Rinterface.cpp -o Rinterface.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c anova.cpp -o anova.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c calctest.cpp -o calctest.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glm.cpp -o glm.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glmtest.cpp -o glmtest.o glmtest.cpp: In member function ‘int GlmTest::resampNonCase(glm*, gsl_matrix*, unsigned int)’: glmtest.cpp:849:23: warning: ‘tmp’ may be used uninitialized [-Wmaybe-uninitialized] 849 | gsl_sort_index(permid, tmp, 1, nRows); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ In file included from resampTest.h:26, from glmtest.cpp:5: /usr/include/gsl/gsl_sort_double.h:41:6: note: by argument 2 of type ‘const double*’ to ‘void gsl_sort_index(size_t*, const double*, size_t, size_t)’ declared here 41 | void gsl_sort_index (size_t * p, const double * data, const size_t stride, const size_t n); | ^~~~~~~~~~~~~~ glmtest.cpp:876:23: warning: ‘tmp’ may be used uninitialized [-Wmaybe-uninitialized] 876 | gsl_sort_index(permid, tmp, 1, nRows); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /usr/include/gsl/gsl_sort_double.h:41:6: note: by argument 2 of type ‘const double*’ to ‘void gsl_sort_index(size_t*, const double*, size_t, size_t)’ declared here 41 | void gsl_sort_index (size_t * p, const double * data, const size_t stride, const size_t n); | ^~~~~~~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c io.cpp -o io.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rnd.cpp -o rnd.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c simutility.cpp -o simutility.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c summary.cpp -o summary.o g++-14 -std=gnu++11 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o mvabund.so RcppExports.o Rinterface.o anova.o calctest.o glm.o glmtest.o io.o rnd.o simutility.o summary.o -L/usr/lib/x86_64-linux-gnu -lgsl -lgslcblas -lm -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpI0olQ9/R.INSTALL2d14f81846326f/mvabund/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-mvabund/00new/mvabund/libs ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mvabund) begin installing package ‘MetaNet’ * installing *source* package ‘fmcsR’ ... ** using staged installation checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C++ compiler... yes checking whether g++-14 -std=gnu++17 accepts -g... yes checking for gcc... gcc-14 checking whether we are using the GNU C compiler... yes checking whether gcc-14 accepts -g... yes checking for gcc-14 option to accept ISO C89... none needed checking how to run the C preprocessor... gcc-14 -E checking for grep that handles long lines and -e... /usr/bin/grep checking for egrep... /usr/bin/grep -E checking for ANSI C header files... yes checking for sys/types.h... yes checking for sys/stat.h... yes checking for stdlib.h... yes checking for string.h... yes checking for memory.h... yes checking for strings.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for unistd.h... yes checking for stdbool.h that conforms to C99... yes checking for _Bool... yes checking for inline... inline checking for size_t... yes checking for alarm... yes configure: creating ./config.status config.status: creating src/Makevars config.status: creating config.h config.status: config.h is unchanged ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpAIK2kq/R.INSTALL2d29335c99a43c/fmcsR/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c MCS.cpp -o MCS.o MCS.cpp: In member function ‘void FMCS::MCS::calculate()’: MCS.cpp:108:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 108 | for (int i = 0; i < atomCountOne; ++i) { | ~~^~~~~~~~~~~~~~ MCS.cpp:116:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < atomCountTwo; ++i) { | ~~^~~~~~~~~~~~~~ In file included from MCSCompound.h:15, from MCS.h:12, from MCS.cpp:3: MCSList.h: In instantiation of ‘bool FMCS::MCSList::contains(const T&) const [with T = long unsigned int]’: MCS.cpp:381:44: required from here 381 | if (atomListTwoDegrees.contains(atomListOneDegreesPtr[i])) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ MCSList.h:143:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 143 | for (int i = 0; i < length; ++i) { | ~~^~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c MCSCompound.cpp -o MCSCompound.o In file included from MCSCompound.cpp:5: MCSRingDetector.h: In constructor ‘FMCS::MCSRingDetector::Ring::Ring(const FMCS::MCSRingDetector::Edge&, const FMCS::MCSCompound*)’: MCSRingDetector.h:86:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (int i = 0; i < this->vertexPath.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ MCSRingDetector.h: In member function ‘int FMCS::MCSRingDetector::Ring::rightVertex(size_t) const’: MCSRingDetector.h:142:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | if (vertexIndex < vertexPath.size()-1) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ MCSCompound.cpp: In copy constructor ‘FMCS::MCSCompound::MCSCompound(const FMCS::MCSCompound&)’: MCSCompound.cpp:87:23: warning: ‘void* memcpy(void*, const void*, size_t)’ writing to an object of type ‘struct FMCS::MCSCompound::Atom’ with no trivial copy-assignment; use copy-assignment or copy-initialization instead [-Wclass-memaccess] 87 | memcpy(atoms, other.atoms, sizeof(Atom) * other.atomCount); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from MCSCompound.cpp:4: MCSCompound.h:26:16: note: ‘struct FMCS::MCSCompound::Atom’ declared here 26 | struct Atom { | ^~~~ MCSCompound.cpp: In member function ‘const FMCS::MCSCompound& FMCS::MCSCompound::operator=(const FMCS::MCSCompound&)’: MCSCompound.cpp:123:19: warning: ‘void* memcpy(void*, const void*, size_t)’ writing to an object of type ‘struct FMCS::MCSCompound::Atom’ with no trivial copy-assignment; use copy-assignment or copy-initialization instead [-Wclass-memaccess] 123 | memcpy(atoms, that.atoms, sizeof(Atom) * that.atomCount); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ MCSCompound.h:26:16: note: ‘struct FMCS::MCSCompound::Atom’ declared here 26 | struct Atom { | ^~~~ MCSCompound.cpp: In member function ‘void FMCS::MCSCompound::read(const std::string&)’: MCSCompound.cpp:157:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 157 | for (int i = 0; i < bondCount; ++i) { | ~~^~~~~~~~~~~ MCSCompound.cpp: In member function ‘std::string FMCS::MCSCompound::subgraph(const size_t*, size_t, const std::string&) const’: MCSCompound.cpp:194:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 194 | for (int i = 0; i < indexLength; ++i) { | ~~^~~~~~~~~~~~~ MCSCompound.cpp: In member function ‘const FMCS::MCSCompound::Bond* FMCS::MCSCompound::getBond(size_t, size_t) const’: MCSCompound.cpp:467:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 467 | for(int i = 0; i < bondCount; ++i) { | ~~^~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c MCSMap.cpp -o MCSMap.o In file included from MCSMap.h:8, from MCSMap.cpp:3: MCSList.h: In instantiation of ‘bool FMCS::MCSList::contains(const T&) const [with T = long unsigned int]’: MCSMap.cpp:28:32: required from here 28 | return keyList.contains(key); | ~~~~~~~~~~~~~~~~^~~~~ MCSList.h:143:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 143 | for (int i = 0; i < length; ++i) { | ~~^~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c MCSRingDetector.cpp -o MCSRingDetector.o In file included from MCSRingDetector.cpp:13: MCSRingDetector.h: In constructor ‘FMCS::MCSRingDetector::Ring::Ring(const FMCS::MCSRingDetector::Edge&, const FMCS::MCSCompound*)’: MCSRingDetector.h:86:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (int i = 0; i < this->vertexPath.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ MCSRingDetector.h: In member function ‘int FMCS::MCSRingDetector::Ring::rightVertex(size_t) const’: MCSRingDetector.h:142:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | if (vertexIndex < vertexPath.size()-1) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ MCSRingDetector.cpp: In member function ‘void FMCS::MCSRingDetector::sortVertexQueue()’: MCSRingDetector.cpp:93:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 93 | for (int i = 0; i < vertexQueue.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ MCSRingDetector.cpp:94:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 94 | for (int j = 0; j < queueSize-1-i; ++j ) { | ~~^~~~~~~~~~~~~~~ MCSRingDetector.cpp: In member function ‘void FMCS::MCSRingDetector::convert()’: MCSRingDetector.cpp:149:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 149 | for (int j = 0; j < degree; ++j) { | ~~^~~~~~~~ MCSRingDetector.cpp: In member function ‘void FMCS::MCSRingDetector::detect()’: MCSRingDetector.cpp:175:13: warning: unused variable ‘aromaticCount’ [-Wunused-variable] 175 | int aromaticCount = 0; | ^~~~~~~~~~~~~ MCSRingDetector.cpp: In member function ‘bool FMCS::MCSRingDetector::Ring::isSp2Hybridized(size_t, int, bool&) const’: MCSRingDetector.cpp:194:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 194 | if (level > vertexPath.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fmcs_R_wrap.cpp -o fmcs_R_wrap.o fmcs_R_wrap.cpp: In function ‘void fmcs_R_wrap(const char**, const char**, int*, int*, int*, int*, int*, int*, int*, const char**, const char**, const char**, const char**, const char**)’: fmcs_R_wrap.cpp:74:45: warning: ‘matchType’ may be used uninitialized [-Wmaybe-uninitialized] 74 | matchType, runningMode, *timeout); | ^ fmcs_R_wrap.cpp:42:24: note: ‘matchType’ was declared here 42 | MCS::MatchType matchType; | ^~~~~~~~~ fmcs_R_wrap.cpp:74:45: warning: ‘runningMode’ may be used uninitialized [-Wmaybe-uninitialized] 74 | matchType, runningMode, *timeout); | ^ fmcs_R_wrap.cpp:52:26: note: ‘runningMode’ was declared here 52 | MCS::RunningMode runningMode; | ^~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c util.cpp -o util.o util.cpp: In function ‘std::string getUpper(const std::string&)’: util.cpp:11:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 11 | for (int i = 0; i < upper.length(); ++i) { | ~~^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o fmcsR.so MCS.o MCSCompound.o MCSMap.o MCSRingDetector.o fmcs_R_wrap.o util.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpAIK2kq/R.INSTALL2d29335c99a43c/fmcsR/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-fmcsR/00new/fmcsR/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fmcsR) begin installing package ‘zetadiv’ * installing *source* package ‘poppr’ ... ** package ‘poppr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp4TrEa3/R.INSTALL2d266d6d17cc31/poppr/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c adjust_missing.c -o adjust_missing.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bitwise_distance.c -o bitwise_distance.o bitwise_distance.c: In function ‘association_index_haploid’: bitwise_distance.c:823:7: warning: unused variable ‘only_differences’ [-Wunused-variable] 823 | int only_differences; | ^~~~~~~~~~~~~~~~ bitwise_distance.c:815:7: warning: variable ‘chr_length’ set but not used [-Wunused-but-set-variable] 815 | int chr_length; | ^~~~~~~~~~ bitwise_distance.c:808:8: warning: unused variable ‘R_chr2_1’ [-Wunused-variable] 808 | SEXP R_chr2_1; | ^~~~~~~~ bitwise_distance.c: In function ‘association_index_diploid’: bitwise_distance.c:1190:7: warning: variable ‘chr_length’ set but not used [-Wunused-but-set-variable] 1190 | int chr_length; | ^~~~~~~~~~ bitwise_distance.c:1182:8: warning: unused variable ‘R_chr2_2’ [-Wunused-variable] 1182 | SEXP R_chr2_2; | ^~~~~~~~ bitwise_distance.c:1181:8: warning: unused variable ‘R_chr2_1’ [-Wunused-variable] 1181 | SEXP R_chr2_1; | ^~~~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mlg_clustering.c -o mlg_clustering.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mlg_counter.c -o mlg_counter.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c msn.c -o msn.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c omp_test.c -o omp_test.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c permut_shuffler.c -o permut_shuffler.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c poppr_distance.c -o poppr_distance.o poppr_distance.c: In function ‘bruvo_between’: poppr_distance.c:428:13: warning: variable ‘numel’ set but not used [-Wunused-but-set-variable] 428 | int numel; // Number of elements in returned matrix | ^~~~~ gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o poppr.so adjust_missing.o bitwise_distance.o init.o mlg_clustering.o mlg_counter.o msn.o omp_test.o permut_shuffler.o poppr_distance.o -fopenmp -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp4TrEa3/R.INSTALL2d266d6d17cc31/poppr/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-poppr/00new/poppr/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading Creating a generic function from function ‘as.genambig’ in package ‘poppr’ ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (poppr) begin installing package ‘DatabionicSwarm’ * installing *source* package ‘GUniFrac’ ... ** package ‘GUniFrac’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpt89o0g/R.INSTALL2d293d729fb586/GUniFrac/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PairwiseD.cpp -o PairwiseD.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gmpr.cpp -o gmpr.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o GUniFrac.so PairwiseD.o RcppExports.o gmpr.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpt89o0g/R.INSTALL2d293d729fb586/GUniFrac/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-GUniFrac/00new/GUniFrac/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (GUniFrac) begin installing package ‘Compositional’ * installing *source* package ‘DECIPHER’ ... ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpMgGArt/R.INSTALL2d019b5dbfb57/DECIPHER/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c AlignProfiles.c -o AlignProfiles.o In file included from AlignProfiles.c:34: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ AlignProfiles.c: In function ‘alignProfiles._omp_fn.0’: AlignProfiles.c:428:37: warning: ‘lGs’ may be used uninitialized [-Wmaybe-uninitialized] 428 | lGs *= tot; | ~~~~^~~~~~ AlignProfiles.c:61:51: note: ‘lGs’ was declared here 61 | double *pprofile, *sprofile, gp, gs, lGp, lGs, S, M, GP, GS, temp, avgM = 0; | ^~~ AlignProfiles.c:426:37: warning: ‘lGp’ may be used uninitialized [-Wmaybe-uninitialized] 426 | lGp *= tot; | ~~~~^~~~~~ AlignProfiles.c:61:46: note: ‘lGp’ was declared here 61 | double *pprofile, *sprofile, gp, gs, lGp, lGs, S, M, GP, GS, temp, avgM = 0; | ^~~ AlignProfiles.c: In function ‘alignProfilesAA._omp_fn.0’: AlignProfiles.c:1272:37: warning: ‘lGs’ may be used uninitialized [-Wmaybe-uninitialized] 1272 | lGs *= tot; | ~~~~^~~~~~ AlignProfiles.c:810:51: note: ‘lGs’ was declared here 810 | double *pprofile, *sprofile, gp, gs, lGp, lGs, M, GP, GS, R, temp, avgM = 0; | ^~~ AlignProfiles.c:1270:37: warning: ‘lGp’ may be used uninitialized [-Wmaybe-uninitialized] 1270 | lGp *= tot; | ~~~~^~~~~~ AlignProfiles.c:810:46: note: ‘lGp’ was declared here 810 | double *pprofile, *sprofile, gp, gs, lGp, lGs, M, GP, GS, R, temp, avgM = 0; | ^~~ AlignProfiles.c: In function ‘alignProfiles’: AlignProfiles.c:81:17: warning: ‘subM’ may be used uninitialized [-Wmaybe-uninitialized] 81 | double *subM; | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c AssignIndels.c -o AssignIndels.o In file included from AssignIndels.c:20: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Biostrings_stubs.c -o Biostrings_stubs.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c CalculateDeltaG.c -o CalculateDeltaG.o In file included from CalculateDeltaG.c:27: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c CalculateFISH.c -o CalculateFISH.o In file included from CalculateFISH.c:20: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ CalculateFISH.c: In function ‘calculateFISH’: CalculateFISH.c:25:30: warning: missing braces around initializer [-Wmissing-braces] 25 | double dH_DR[4][4] = { | ^ 26 | -11.5, -7.8, -7, -8.3, | { } 27 | -10.4, -12.8, -16.3, -9.1, | { } 28 | -8.6, -8, -9.3, -5.9, | { } 29 | -7.8, -5.5, -9, -7.8 | { 30 | }; | } CalculateFISH.c:31:30: warning: missing braces around initializer [-Wmissing-braces] 31 | double dS_DR[4][4] = { | ^ 32 | -36.4, -21.6, -19.7, -23.9, | { } 33 | -28.4, -31.9, -47.1, -23.5, | { } 34 | -22.9, -17.1, -23.2, -12.3, | { } 35 | -23.2, -13.5, -26.1, -21.9 | { 36 | }; | } CalculateFISH.c:37:30: warning: missing braces around initializer [-Wmissing-braces] 37 | double dH_DD[4][4] = { | ^ 38 | -7.9, -8.4, -7.8, -7.2, | { } 39 | -8.5, -8, -10.6, -7.8, | { } 40 | -8.2, -9.8, -8, -8.4, | { } 41 | -7.2, -8.2, -8.5, -7.9 | { 42 | }; | } CalculateFISH.c:43:30: warning: missing braces around initializer [-Wmissing-braces] 43 | double dS_DD[4][4] = { | ^ 44 | -22.2, -22.4, -21, -20.4, | { } 45 | -22.7, -19.9, -27.2, -21, | { } 46 | -22.2, -24.4, -19.9, -22.4, | { } 47 | -21.3, -22.2, -22.7, -22.2 | { 48 | }; | } CalculateFISH.c:49:30: warning: missing braces around initializer [-Wmissing-braces] 49 | double dH_RR[4][4] = { | ^ 50 | -6.6, -10.17, -7.65, -5.76, | { } 51 | -10.56, -12.21, -7.95, -7.65, | { } 52 | -13.37, -14.21, -12.21, -10.17, | { } 53 | -8.11, -13.37, -10.56, -6.6 | { 54 | }; | } CalculateFISH.c:55:30: warning: missing braces around initializer [-Wmissing-braces] 55 | double dS_RR[4][4] = { | ^ 56 | -18.38, -26.03, -19.18, -15.67, | { } 57 | -28.25, -30.02, -19.18, -19.18, | { } 58 | -35.68, -34.85, -30.02, -26.03, | { } 59 | -22.59, -35.68, -28.25, -18.38 | { 60 | }; | } gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ChainSegments.c -o ChainSegments.o In file included from ChainSegments.c:44: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Cluster.c -o Cluster.o In file included from Cluster.c:36: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ Cluster.c: In function ‘cluster._omp_fn.0’: Cluster.c:418:50: warning: ‘minC’ may be used uninitialized [-Wmaybe-uninitialized] 418 | minCs[i] = minC; | ~~~~~~~~~^~~~~~ Cluster.c:246:57: note: ‘minC’ was declared here 246 | int k, dobj, clusterNum, minRow, minCol, index, minC, met; | ^~~~ Cluster.c: In function ‘cluster._omp_fn.1’: Cluster.c:442:72: warning: ‘minC’ may be used uninitialized [-Wmaybe-uninitialized] 442 | minCols[rowIndices[i]] = minC; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ Cluster.c:246:57: note: ‘minC’ was declared here 246 | int k, dobj, clusterNum, minRow, minCol, index, minC, met; | ^~~~ Cluster.c: In function ‘cluster’: Cluster.c:809:40: warning: ‘minCols’ may be used uninitialized [-Wmaybe-uninitialized] 809 | minCols[rowIndices[minCol - 1]] = -1; | ^ Cluster.c:277:14: note: ‘minCols’ was declared here 277 | int *minCols; | ^~~~~~~ In file included from /home/hornik/tmp/R-d-gcc-14/include/Rdefines.h:41, from Cluster.c:11: /home/hornik/tmp/R-d-gcc-14/include/Rinternals.h:924:33: warning: ‘utilsPackage’ may be used uninitialized [-Wmaybe-uninitialized] 924 | #define eval Rf_eval Cluster.c:859:33: note: in expansion of macro ‘eval’ 859 | eval(lang4(install("setTxtProgressBar"), pBar, percentComplete, R_NilValue), utilsPackage); | ^~~~ Cluster.c:250:36: note: ‘utilsPackage’ was declared here 250 | SEXP ans, percentComplete, utilsPackage; | ^~~~~~~~~~~~ Cluster.c:855:45: warning: ‘total’ may be used uninitialized [-Wmaybe-uninitialized] 855 | *rPercentComplete = floor(100*soFar/total); | ^~~~~~~~~~~~~~~~~~~~~~ Cluster.c:249:23: note: ‘total’ was declared here 249 | double soFar, total, minHeight, *cut, *rans, *distanceMatrix, minH; | ^~~~~ /home/hornik/tmp/R-d-gcc-14/include/Rinternals.h:924:33: warning: ‘percentComplete’ may be used uninitialized [-Wmaybe-uninitialized] 924 | #define eval Rf_eval Cluster.c:859:33: note: in expansion of macro ‘eval’ 859 | eval(lang4(install("setTxtProgressBar"), pBar, percentComplete, R_NilValue), utilsPackage); | ^~~~ Cluster.c:250:19: note: ‘percentComplete’ was declared here 250 | SEXP ans, percentComplete, utilsPackage; | ^~~~~~~~~~~~~~~ Cluster.c:855:43: warning: ‘rPercentComplete’ may be used uninitialized [-Wmaybe-uninitialized] 855 | *rPercentComplete = floor(100*soFar/total); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ Cluster.c:248:25: note: ‘rPercentComplete’ was declared here 248 | int before, v, *rPercentComplete; | ^~~~~~~~~~~~~~~~ Cluster.c:283:17: warning: ‘nDiv’ may be used uninitialized [-Wmaybe-uninitialized] 283 | double *nDiv; | ^~~~ Cluster.c:392:72: warning: ‘minC’ may be used uninitialized [-Wmaybe-uninitialized] 392 | minCols[rowIndices[i]] = minC; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ Cluster.c:246:57: note: ‘minC’ was declared here 246 | int k, dobj, clusterNum, minRow, minCol, index, minC, met; | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ClusterML.c -o ClusterML.o In file included from ClusterML.c:47: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ ClusterML.c: In function ‘clusterML’: ClusterML.c:1170:17: warning: ‘node’ may be used uninitialized [-Wmaybe-uninitialized] 1170 | double *node; | ^~~~ ClusterML.c:1206:14: warning: ‘Up’ may be used uninitialized [-Wmaybe-uninitialized] 1206 | int *Up; | ^~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ClusterMP.c -o ClusterMP.o In file included from ClusterMP.c:34: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ ClusterMP.c: In function ‘clusterMP._omp_fn.0’: ClusterMP.c:165:41: warning: ‘P’ may be used uninitialized [-Wmaybe-uninitialized] 165 | allStates(R, P, S, c, j, 0, k - 1, 0, k - 1, c, only); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ClusterMP.c:153:30: note: ‘P’ was declared here 153 | int *P; | ^ ClusterMP.c:98:22: warning: ‘m’ may be used uninitialized [-Wmaybe-uninitialized] 98 | int i, j, k, m, w; | ^ ClusterMP.c: In function ‘clusterMP’: ClusterMP.c:140:17: warning: ‘Up’ may be used uninitialized [-Wmaybe-uninitialized] 140 | #pragma omp parallel for private(i,j,k,m,w) num_threads(nthreads) | ^~~ ClusterMP.c:126:14: note: ‘Up’ was declared here 126 | int *Up; | ^~ ClusterMP.c:111:17: warning: ‘lengths’ may be used uninitialized [-Wmaybe-uninitialized] 111 | double *lengths, *score; | ^~~~~~~ ClusterMP.c:112:14: warning: ‘nodes’ may be used uninitialized [-Wmaybe-uninitialized] 112 | int *nodes, *subM; | ^~~~~ ClusterMP.c:112:22: warning: ‘subM’ may be used uninitialized [-Wmaybe-uninitialized] 112 | int *nodes, *subM; | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Compositions.c -o Compositions.o In file included from Compositions.c:28: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Compression.c -o Compression.o In file included from Compression.c:34: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ Compression.c: In function ‘nbit._omp_fn.0’: Compression.c:1241:71: warning: ‘lastTriplet’ may be used uninitialized [-Wmaybe-uninitialized] 1241 | if (threeBitEnd > threeBitBegin && (j - lastTriplet) > 20) { | ~~~^~~~~~~~~~~~~~ Compression.c:631:26: note: ‘lastTriplet’ was declared here 631 | int run, lastTriplet, lastCase; | ^~~~~~~~~~~ Compression.c:1011:62: warning: ‘word’ may be used uninitialized [-Wmaybe-uninitialized] 1011 | word = (word << 8) | (unsigned int)reorder(byte); | ~~~~~~^~~~~ Compression.c:544:37: note: ‘word’ was declared here 544 | unsigned int *dict, word, count, lastHit, currHit, lastPos = 0; | ^~~~ Compression.c:1012:54: warning: ‘count’ may be used uninitialized [-Wmaybe-uninitialized] 1012 | count++; | ~~~~~^~ Compression.c:544:43: note: ‘count’ was declared here 544 | unsigned int *dict, word, count, lastHit, currHit, lastPos = 0; | ^~~~~ Compression.c:1214:56: warning: ‘rev’ may be used uninitialized [-Wmaybe-uninitialized] 1214 | p[c++] = rev == 0 ? 254 : 255; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ Compression.c:545:41: note: ‘rev’ was declared here 545 | int lastTemp, currTemp, rev, len, len2, thresh = 1; | ^~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ConsensusSequence.c -o ConsensusSequence.o In file included from ConsensusSequence.c:33: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ In function ‘runsAA’, inlined from ‘consensusProfileAA’ at ConsensusSequence.c:1836:3: ConsensusSequence.c:454:50: warning: ‘lastPos’ may be used uninitialized [-Wmaybe-uninitialized] 454 | if (lastGap < (s - 2)) // ensure continuity before the run | ~~~^~~~ ConsensusSequence.c: In function ‘consensusProfileAA’: ConsensusSequence.c:397:30: note: ‘lastPos’ was declared here 397 | int j, temp, length, lastPos, s = -1, value = -1, lastGap = start - 1; | ^~~~~~~ ConsensusSequence.c: In function ‘colScores’: ConsensusSequence.c:2043:19: warning: ‘curr’ may be used uninitialized [-Wmaybe-uninitialized] 2043 | if (tGaps && curr > 0) { | ~~~~~~^~~~~~~~~~~ ConsensusSequence.c:1930:37: note: ‘curr’ was declared here 1930 | double weight, total, prev, curr; | ^~~~ ConsensusSequence.c: In function ‘colScoresAA’: ConsensusSequence.c:2186:19: warning: ‘curr’ may be used uninitialized [-Wmaybe-uninitialized] 2186 | if (tGaps && curr > 0) { | ~~~~~~^~~~~~~~~~~ ConsensusSequence.c:2073:37: note: ‘curr’ was declared here 2073 | double weight, total, prev, curr; | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c DesignProbes.c -o DesignProbes.o In file included from DesignProbes.c:38: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ DesignProbes.c: In function ‘designProbes’: DesignProbes.c:70:27: warning: missing braces around initializer [-Wmissing-braces] 70 | double NN[4][4] = { | ^ 71 | -0.816507461,-2.5401714,-1.647430026,-1.184658548 | { 72 | ,-1.854740485,-2.479102613,-2.826248182,-1.647430026 | }{ 73 | ,-2.48761723,-4.694133177,-2.479102613,-2.5401714 | }{ 74 | ,-0.495794417,-2.48761723,-1.854740485,-0.816507461 | }{ 75 | }; | } DesignProbes.c:77:27: warning: missing braces around initializer [-Wmissing-braces] 77 | double PM[4][4] = { | ^ 78 | -0.141370102,-0.439805276,-0.285236035,-0.205111781 | { 79 | ,-0.321129768,-0.429231826,-0.48933661,-0.285236035 | }{ 80 | ,-0.430706047,-0.812742218,-0.429231826,-0.439805276 | }{ 81 | ,-0.085841845,-0.430706047,-0.321129768,-0.141370102 | }{ 82 | }; | } DesignProbes.c:84:34: warning: missing braces around initializer [-Wmissing-braces] 84 | double sMM[4][5][5][4] = { | ^ 85 | 0,0,0,0 | {{{ 86 | ,1.545032445,1.254355018,1.491691514,1.329138183 | }{ 87 | ,1.150635633,0.582415494,1.075877275,1.187937642 | }{ 88 | ,1.203555051,1.001540513,0.864287715,0.717125848 | }{ 89 | ,0.75,0.65,0.69,0.78 | }{ 90 | ,0.630005348,0.18553379,0.730763505,0.709272397 | - | }},{{ 91 | ,0,0,0,0 | }{ 92 | ,0.856582783,-0.143236405,0.716721488,0.603652831 | }{ 93 | ,0.851622883,0.653168672,0.676545316,1.187937642 | }{ 94 | ,0.75,0.65,0.69,0.78 | }{ 95 | ,1.231861002,0.746214538,1.087821916,0.989140748 | - | }},{{ 96 | ,1.822113278,1.270687029,1.336192565,1.364584949 | }{ 97 | ,0,0,0,0 | }{ 98 | ,1.443665704,1.385046493,1.256013166,1.329138183 | }{ 99 | ,0.75,0.65,0.69,0.78 | }{ 100 | ,1.478009492,0.882097231,1.20450984,1.061002478 | - | }},{{ 101 | ,1.496720812,0.846496194,0.967868114,0.989140748 | }{ 102 | ,0.766581547,-0.024857805,0.50754303,0.709272397 | }{ 103 | ,0,0,0,0 | }{ 104 | ,0.75,0.65,0.69,0.78 | }{ 105 | ,0.75,0.65,0.69,0.78 | - | }},{{ 106 | ,0.75,0.65,0.69,0.78 | }{ 107 | ,0.75,0.65,0.69,0.78 | }{ 108 | ,0.76,0.65,0.69,0.78 | }{ 109 | ,0,0,0,0 | }{ 110 | ,0,0,0,0 | - | }}},{{{ 111 | ,1.295827995,0.84547091,0.91019099,1.256013166 | }{ 112 | ,0.755889609,0.241428373,0.396379912,0.676545316 | }{ 113 | ,0.99945386,0.740323132,0.435659206,0.864287715 | }{ 114 | ,0.65,0.55,0.48,0.69 | }{ 115 | ,0.843147406,0.101248351,0.49063599,0.50754303 | - | }},{{ 116 | ,0,0,0,0 | }{ 117 | ,1.0651638,0.249934344,0.699352949,0.716721488 | }{ 118 | ,0.871921533,0.59458138,0.396379912,1.075877275 | }{ 119 | ,0.65,0.56,0.49,0.69 | }{ 120 | ,1.07531714,0.318907854,0.653287717,0.967868114 | - | }},{{ 121 | ,1.099899195,0.730184613,0.661798984,1.336192565 | }{ 122 | ,0,0,0,0 | }{ 123 | ,1.45897431,1.318532145,0.91019099,1.491691514 | }{ 124 | ,0.65,0.56,0.49,0.69 | }{ 125 | ,1.242135174,0.894838095,1.108555445,1.20450984 | - | }},{{ 126 | ,0.911428974,0.524430101,0.653287717,1.087821916 | }{ 127 | ,0.503209827,0.274849491,0.49063599,0.730763505 | }{ 128 | ,0,0,0,0 | }{ 129 | ,0.65,0.55,0.48,0.69 | }{ 130 | ,0.65,0.55,0.48,0.69 | - | }},{{ 131 | ,0.65,0.56,0.49,0.69 | }{ 132 | ,0.65,0.56,0.49,0.69 | }{ 133 | ,0.65,0.55,0.48,0.69 | }{ 134 | ,0,0,0,0 | }{ 135 | ,0,0,0,0 | - | }}},{{{ 136 | ,1.100661785,0.969784756,1.318532145,1.385046493 | }{ 137 | ,0.565895968,-0.060347902,0.59458138,0.653168672 | }{ 138 | ,0.782168488,0.788161238,0.740323132,1.001540513 | }{ 139 | ,0.68,0.46,0.55,0.65 | }{ 140 | ,0.468913405,-0.469855984,0.274849491,-0.024857805 | - | }},{{ 141 | ,0,0,0,0 | }{ 142 | ,0.258195131,-0.70438632,0.249934344,-0.143236405 | }{ 143 | ,0.502914193,-0.060347902,0.241428373,0.582415494 | }{ 144 | ,0.68,0.47,0.56,0.65 | }{ 145 | ,0.584083861,0.258975454,0.524430101,0.846496194 | - | }},{{ 146 | ,0.968040559,0.797499702,0.730184613,1.270687029 | }{ 147 | ,0,0,0,0 | }{ 148 | ,1.081040749,0.969784756,0.84547091,1.254355018 | }{ 149 | ,0.68,0.47,0.56,0.65 | }{ 150 | ,1.048553951,0.728354541,0.894838095,0.882097231 | - | }},{{ 151 | ,0.88611252,0.258975454,0.318907854,0.746214538 | }{ 152 | ,0.239520858,-0.469855984,0.101248351,0.18553379 | }{ 153 | ,0,0,0,0 | }{ 154 | ,0.68,0.46,0.55,0.65 | }{ 155 | ,0.68,0.46,0.55,0.65 | - | }},{{ 156 | ,0.68,0.47,0.56,0.65 | }{ 157 | ,0.68,0.47,0.56,0.65 | }{ 158 | ,0.68,0.46,0.55,0.65 | }{ 159 | ,0,0,0,0 | }{ 160 | ,0,0,0,0 | - | }}},{{{ 161 | ,1.566899704,1.081040749,1.45897431,1.443665704 | }{ 162 | ,0.976725675,0.502914193,0.871921533,0.851622883 | }{ 163 | ,1.482046826,0.782168488,0.99945386,1.203555051 | }{ 164 | ,0.85,0.68,0.65,0.76 | }{ 165 | ,0.798628781,0.239520858,0.503209827,0.766581547 | - | }},{{ 166 | ,0,0,0,0 | }{ 167 | ,1.141098246,0.258195131,1.0651638,0.856582783 | }{ 168 | ,0.976725675,0.565895968,0.755889609,1.150635633 | }{ 169 | ,0.85,0.68,0.65,0.75 | }{ 170 | ,1.125403302,0.88611252,0.911428974,1.496720812 | - | }},{{ 171 | ,1.68169282,0.968040559,1.099899195,1.822113278 | }{ 172 | ,0,0,0,0 | }{ 173 | ,1.566899704,1.100661785,1.295827995,1.545032445 | }{ 174 | ,0.85,0.68,0.65,0.75 | }{ 175 | ,1.35948517,1.048553951,1.242135174,1.478009492 | - | }},{{ 176 | ,1.125403302,0.584083861,1.07531714,1.231861002 | }{ 177 | ,0.798628781,0.468913405,0.843147406,0.630005348 | }{ 178 | ,0,0,0,0 | }{ 179 | ,0.85,0.68,0.65,0.75 | }{ 180 | ,0.85,0.68,0.65,0.75 | - | }},{{ 181 | ,0.85,0.68,0.65,0.75 | }{ 182 | ,0.85,0.68,0.65,0.75 | }{ 183 | ,0.85,0.68,0.65,0.75 | }{ 184 | ,0,0,0,0 | }{ 185 | }; | }}} DesignProbes.c: In function ‘designProbes._omp_fn.0’: DesignProbes.c:837:60: warning: ‘lastCycle’ may be used uninitialized [-Wmaybe-uninitialized] 837 | if (thisCycle < lastCycle) { | ^ DesignProbes.c:269:58: note: ‘lastCycle’ was declared here 269 | int MM, num, thisStart, thisEnd, lastCycle, thisCycle, cycles; | ^~~~~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Diff.c -o Diff.o In file included from Diff.c:23: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c DistanceMatrix.c -o DistanceMatrix.o In file included from DistanceMatrix.c:41: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ DistanceMatrix.c: In function ‘firstSeqsPosEqual’: DistanceMatrix.c:796:17: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation] 796 | if (!ci) | ^~ DistanceMatrix.c:799:25: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’ 799 | while (i < ex) { | ^~~~~ DistanceMatrix.c:818:17: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation] 818 | if (!cj) | ^~ DistanceMatrix.c:821:25: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’ 821 | while (j < ey) { | ^~~~~ DistanceMatrix.c: In function ‘computeOverlap._omp_fn.0’: DistanceMatrix.c:1374:66: warning: ‘OV’ may be used uninitialized [-Wmaybe-uninitialized] 1374 | (w1 <= w2 && (double)(OV + off)/(double)w2 < coverage)))) { | ~~~~^~~~~~ DistanceMatrix.c:883:92: note: ‘OV’ was declared here 883 | int i, j, k, l, n, p, d, lx, new, *t, *keep, *I, *X, *OX, pos, p1, p2, t1, t2, ov, OV, off, g1, g2, g, o, count, useMax; | ^~ DistanceMatrix.c:1374:66: warning: ‘off’ may be used uninitialized [-Wmaybe-uninitialized] 1374 | (w1 <= w2 && (double)(OV + off)/(double)w2 < coverage)))) { | ~~~~^~~~~~ DistanceMatrix.c:883:96: note: ‘off’ was declared here 883 | int i, j, k, l, n, p, d, lx, new, *t, *keep, *I, *X, *OX, pos, p1, p2, t1, t2, ov, OV, off, g1, g2, g, o, count, useMax; | ^~~ DistanceMatrix.c:1053:53: warning: ‘one’ may be used uninitialized [-Wmaybe-uninitialized] 1053 | two != one) { | ~~~~^~~~~~ DistanceMatrix.c:1028:29: note: ‘one’ was declared here 1028 | int one, two; | ^~~ DistanceMatrix.c:1390:52: warning: ‘o’ may be used uninitialized [-Wmaybe-uninitialized] 1390 | if (o == 1) { | ^ DistanceMatrix.c:883:112: note: ‘o’ was declared here 883 | int i, j, k, l, n, p, d, lx, new, *t, *keep, *I, *X, *OX, pos, p1, p2, t1, t2, ov, OV, off, g1, g2, g, o, count, useMax; | ^ DistanceMatrix.c:1393:91: warning: ‘ov’ may be used uninitialized [-Wmaybe-uninitialized] 1393 | sim[i] = (double)pos/((double)(ov + count + g2)); | ~~~^~~~~~~ DistanceMatrix.c:883:88: note: ‘ov’ was declared here 883 | int i, j, k, l, n, p, d, lx, new, *t, *keep, *I, *X, *OX, pos, p1, p2, t1, t2, ov, OV, off, g1, g2, g, o, count, useMax; | ^~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c EnumerateSequence.c -o EnumerateSequence.o In file included from EnumerateSequence.c:41: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ EnumerateSequence.c: In function ‘pop’: EnumerateSequence.c:545:15: warning: suggest parentheses around ‘+’ in operand of ‘&’ [-Wparentheses] 545 | x = x + (x >> 4) & 0xF0F0F0F; | ~~^~~~~~~~~~ EnumerateSequence.c: In function ‘enumerateSequence’: EnumerateSequence.c:358:17: warning: ‘mN’ may be used uninitialized [-Wmaybe-uninitialized] 358 | #pragma omp parallel for private(i,j,k,x_i,rans,sum,ambiguous) num_threads(nthreads) | ^~~ EnumerateSequence.c:317:14: note: ‘mN’ was declared here 317 | int *mN; | ^~ EnumerateSequence.c:318:13: warning: ‘tot’ may be used uninitialized [-Wmaybe-uninitialized] 318 | int tot; // total number of k-mers | ^~~ EnumerateSequence.c: In function ‘enumerateSequenceReducedAA’: EnumerateSequence.c:907:14: warning: ‘mN’ may be used uninitialized [-Wmaybe-uninitialized] 907 | int *mN; | ^~ EnumerateSequence.c:908:13: warning: ‘tot’ may be used uninitialized [-Wmaybe-uninitialized] 908 | int tot; // total number of k-mers | ^~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ExpandAmbiguities.c -o ExpandAmbiguities.o In file included from ExpandAmbiguities.c:30: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c FindFrameshifts.c -o FindFrameshifts.o In file included from FindFrameshifts.c:33: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ FindFrameshifts.c: In function ‘findFrameshifts’: FindFrameshifts.c:464:43: warning: ‘rPercentComplete’ may be used uninitialized [-Wmaybe-uninitialized] 464 | *rPercentComplete = floor(100*(double)(s + 1)/f_length); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ FindFrameshifts.c:160:25: note: ‘rPercentComplete’ was declared here 160 | int before, v, *rPercentComplete; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/R-d-gcc-14/include/Rdefines.h:41, from FindFrameshifts.c:11: /home/hornik/tmp/R-d-gcc-14/include/Rinternals.h:924:33: warning: ‘percentComplete’ may be used uninitialized [-Wmaybe-uninitialized] 924 | #define eval Rf_eval FindFrameshifts.c:467:33: note: in expansion of macro ‘eval’ 467 | eval(lang4(install("setTxtProgressBar"), pBar, percentComplete, R_NilValue), utilsPackage); | ^~~~ FindFrameshifts.c:162:14: note: ‘percentComplete’ was declared here 162 | SEXP percentComplete, utilsPackage; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R-d-gcc-14/include/Rinternals.h:924:33: warning: ‘utilsPackage’ may be used uninitialized [-Wmaybe-uninitialized] 924 | #define eval Rf_eval FindFrameshifts.c:467:33: note: in expansion of macro ‘eval’ 467 | eval(lang4(install("setTxtProgressBar"), pBar, percentComplete, R_NilValue), utilsPackage); | ^~~~ FindFrameshifts.c:162:31: note: ‘utilsPackage’ was declared here 162 | SEXP percentComplete, utilsPackage; | ^~~~~~~~~~~~ FindFrameshifts.c:317:34: warning: ‘I’ may be used uninitialized [-Wmaybe-uninitialized] 317 | while (i > 0 && j > 0) { | ~~^~~ FindFrameshifts.c:135:28: note: ‘I’ was declared here 135 | int s, o, i, j, k, I, J, K, n, m, w, r, c, rc; | ^ FindFrameshifts.c:317:43: warning: ‘J’ may be used uninitialized [-Wmaybe-uninitialized] 317 | while (i > 0 && j > 0) { | ~~^~~ FindFrameshifts.c:135:31: note: ‘J’ was declared here 135 | int s, o, i, j, k, I, J, K, n, m, w, r, c, rc; | ^ FindFrameshifts.c:376:28: warning: ‘K’ may be used uninitialized [-Wmaybe-uninitialized] 376 | if (k == 1) { | ^ FindFrameshifts.c:135:34: note: ‘K’ was declared here 135 | int s, o, i, j, k, I, J, K, n, m, w, r, c, rc; | ^ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c GeneFinding.c -o GeneFinding.o In file included from GeneFinding.c:42: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ GeneFinding.c: In function ‘scoreCodonModel’: GeneFinding.c:421:56: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 421 | val = getBaseRC(x_i.ptr[j++]); | ^ GeneFinding.c:388:22: note: ‘x_i.ptr’ was declared here 388 | Chars_holder x_i; | ^~~ GeneFinding.c:431:57: warning: ‘lastVal’ may be used uninitialized [-Wmaybe-uninitialized] 431 | if (val < 64 && lastVal < 64) | ~~~~~~~~^~~~ GeneFinding.c:371:32: note: ‘lastVal’ was declared here 371 | int i, j, s, fin, val, lastVal, dicodon; | ^~~~~~~ GeneFinding.c: In function ‘startCodonModel’: GeneFinding.c:797:50: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 797 | val += 16*getBase(x_i.ptr[j]); | ^ GeneFinding.c:771:22: note: ‘x_i.ptr’ was declared here 771 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘scoreStartCodonModel’: GeneFinding.c:898:50: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 898 | val += 16*getBase(x_i.ptr[j]); | ^ GeneFinding.c:868:22: note: ‘x_i.ptr’ was declared here 868 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘initialCodonModel’: GeneFinding.c:951:56: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 951 | val = getBaseRC(x_i.ptr[j++]); | ^ GeneFinding.c:928:22: note: ‘x_i.ptr’ was declared here 928 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘scoreInitialCodonModel’: GeneFinding.c:1058:56: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 1058 | val = getBaseRC(x_i.ptr[j++]); | ^ GeneFinding.c:1031:22: note: ‘x_i.ptr’ was declared here 1031 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘terminationCodonModel’: GeneFinding.c:1115:56: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 1115 | val = getBaseRC(x_i.ptr[j++]); | ^ GeneFinding.c:1092:22: note: ‘x_i.ptr’ was declared here 1092 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘scoreTerminationCodonModel’: GeneFinding.c:1215:56: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 1215 | val = getBaseRC(x_i.ptr[j++]); | ^ GeneFinding.c:1188:22: note: ‘x_i.ptr’ was declared here 1188 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘getRegion’: GeneFinding.c:1316:81: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 1316 | seq[k] = getBaseLetterRC(x_i.ptr[j--]); | ^ GeneFinding.c:1252:22: note: ‘x_i.ptr’ was declared here 1252 | Chars_holder x_i; | ^~~ GeneFinding.c:1313:51: warning: ‘x_i.length’ may be used uninitialized [-Wmaybe-uninitialized] 1313 | (s == 0 && j >= 0 && j + w <= x_i.length)) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ GeneFinding.c:1252:22: note: ‘x_i.length’ was declared here 1252 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘autocorrelationModel’: GeneFinding.c:1378:56: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 1378 | val = getBaseRC(x_i.ptr[j++]); | ^ GeneFinding.c:1350:22: note: ‘x_i.ptr’ was declared here 1350 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘scoreAutocorrelationModel’: GeneFinding.c:1495:56: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 1495 | val = getBaseRC(x_i.ptr[j++]); | ^ GeneFinding.c:1461:22: note: ‘x_i.ptr’ was declared here 1461 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘couplingModel’: GeneFinding.c:1597:56: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 1597 | val = getBaseRC(x_i.ptr[j++]); | ^ GeneFinding.c:1573:22: note: ‘x_i.ptr’ was declared here 1573 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘scoreCouplingModel’: GeneFinding.c:1711:56: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 1711 | val = getBaseRC(x_i.ptr[j++]); | ^ GeneFinding.c:1681:22: note: ‘x_i.ptr’ was declared here 1681 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘nucleotideBiasModel’: GeneFinding.c:1826:56: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 1826 | val = getBaseRC(x_i.ptr[j++]); | ^ GeneFinding.c:1788:22: note: ‘x_i.ptr’ was declared here 1788 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘scoreNucleotideBiasModel’: GeneFinding.c:1913:56: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 1913 | val = getBaseRC(x_i.ptr[j++]); | ^ GeneFinding.c:1882:22: note: ‘x_i.ptr’ was declared here 1882 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘upstreamMotifModel’: GeneFinding.c:1992:75: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 1992 | val += mult[k - 1]*getBase(x_i.ptr[j - k + 1]); | ^ GeneFinding.c:1950:22: note: ‘x_i.ptr’ was declared here 1950 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘scoreUpstreamMotifModel’: GeneFinding.c:2092:75: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 2092 | val += mult[k - 1]*getBase(x_i.ptr[j - k + 1]); | ^ GeneFinding.c:2057:22: note: ‘x_i.ptr’ was declared here 2057 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘scoreRunLengthModel’: GeneFinding.c:2307:56: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 2307 | val = getBaseRC(x_i.ptr[j++]); | ^ GeneFinding.c:2276:22: note: ‘x_i.ptr’ was declared here 2276 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘stopCodonModel’: GeneFinding.c:2425:50: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 2425 | val += 16*getBase(x_i.ptr[j]); | ^ GeneFinding.c:2399:22: note: ‘x_i.ptr’ was declared here 2399 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘scoreStopCodonModel’: GeneFinding.c:2526:50: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 2526 | val += 16*getBase(x_i.ptr[j]); | ^ GeneFinding.c:2496:22: note: ‘x_i.ptr’ was declared here 2496 | Chars_holder x_i; | ^~~ GeneFinding.c: In function ‘codonFrequencies’: GeneFinding.c:2577:56: warning: ‘x_i.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 2577 | val = getBaseRC(x_i.ptr[j++]); | ^ GeneFinding.c:2554:22: note: ‘x_i.ptr’ was declared here 2554 | Chars_holder x_i; | ^~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c GetPools.c -o GetPools.o In file included from GetPools.c:20: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ GetPools.c: In function ‘getPools’: GetPools.c:33:46: warning: format ‘%p’ expects argument of type ‘void *’, but argument 4 has type ‘SEXP’ {aka ‘struct SEXPREC *’} [-Wformat=] 33 | snprintf(buf, sizeof(buf), "%p", s); | ~^ ~ | | | | | SEXP {aka struct SEXPREC *} | void * gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Import.c -o Import.o In file included from Import.c:23: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c InformationContent.c -o InformationContent.o In file included from InformationContent.c:23: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c IntDist.c -o IntDist.o In file included from IntDist.c:26: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ManipulateXStringSet.c -o ManipulateXStringSet.o In file included from ManipulateXStringSet.c:43: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c MeltPolymer.c -o MeltPolymer.o In file included from MeltPolymer.c:33: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ MeltPolymer.c: In function ‘meltPolymer’: MeltPolymer.c:79:27: warning: missing braces around initializer [-Wmissing-braces] 79 | double dH[4][4] = { | ^ 80 | -7.9,-8.4,-7.8,-7.2 | { 81 | ,-8.5,-8.0,-10.6,-7.8 | }{ 82 | ,-8.2,-9.8,-8.0,-8.4 | }{ 83 | ,-7.2,-8.2,-8.5,-7.9 | }{ 84 | }; | } MeltPolymer.c:88:27: warning: missing braces around initializer [-Wmissing-braces] 88 | double dS[4][4] = { | ^ 89 | -22.2,-22.4,-21.0,-20.4 | { 90 | ,-22.7,-19.9,-27.2,-21.0 | }{ 91 | ,-22.2,-24.4,-19.9,-22.4 | }{ 92 | ,-21.3,-22.2,-22.7,-22.2 | }{ 93 | }; | } MeltPolymer.c:406:25: warning: ‘ans’ may be used uninitialized [-Wmaybe-uninitialized] 406 | SET_VECTOR_ELT(ret, s, ans); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ MeltPolymer.c:53:19: note: ‘ans’ was declared here 53 | SEXP ret, ans; | ^~~ MeltPolymer.c:358:41: warning: ‘rans’ may be used uninitialized [-Wmaybe-uninitialized] 358 | *(rans + k + l*s) += 1; | ^~~~~~~~~~~~~~~~~ MeltPolymer.c:54:17: note: ‘rans’ was declared here 54 | double *rans; | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c MovingAverage.c -o MovingAverage.o In file included from MovingAverage.c:36: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c NNLS.c -o NNLS.o In file included from NNLS.c:34: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ NNLS.c: In function ‘NNLS’: NNLS.c:77:51: warning: ‘rPercentComplete’ may be used uninitialized [-Wmaybe-uninitialized] 77 | *rPercentComplete = floor(100*((double)i + 1)/(double)l); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ NNLS.c:39:34: note: ‘rPercentComplete’ was declared here 39 | int i, j, k, before, v, *rPercentComplete; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/R-d-gcc-14/include/Rdefines.h:41, from NNLS.c:16: /home/hornik/tmp/R-d-gcc-14/include/Rinternals.h:924:33: warning: ‘percentComplete’ may be used uninitialized [-Wmaybe-uninitialized] 924 | #define eval Rf_eval NNLS.c:81:41: note: in expansion of macro ‘eval’ 81 | eval(lang4(install("setTxtProgressBar"), pBar, percentComplete, R_NilValue), utilsPackage); | ^~~~ NNLS.c:47:14: note: ‘percentComplete’ was declared here 47 | SEXP percentComplete, utilsPackage; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/R-d-gcc-14/include/Rinternals.h:924:33: warning: ‘utilsPackage’ may be used uninitialized [-Wmaybe-uninitialized] 924 | #define eval Rf_eval NNLS.c:81:41: note: in expansion of macro ‘eval’ 81 | eval(lang4(install("setTxtProgressBar"), pBar, percentComplete, R_NilValue), utilsPackage); | ^~~~ NNLS.c:47:31: note: ‘utilsPackage’ was declared here 47 | SEXP percentComplete, utilsPackage; | ^~~~~~~~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Order.c -o Order.o In file included from Order.c:34: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c PairwiseAlignment.c -o PairwiseAlignment.o In file included from PairwiseAlignment.c:43: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ PairwiseAlignment.c: In function ‘alignPair._omp_fn.0’: PairwiseAlignment.c:445:39: warning: ‘p3’ may be used uninitialized [-Wmaybe-uninitialized] 445 | p3[0] = l1; | ~~~~~~^~~~ PairwiseAlignment.c:175:24: note: ‘p3’ was declared here 175 | int *p1, *p2, *p3, *p4; | ^~ PairwiseAlignment.c:446:39: warning: ‘p4’ may be used uninitialized [-Wmaybe-uninitialized] 446 | p4[0] = l2 - j1; | ~~~~~~^~~~~~~~~ PairwiseAlignment.c:175:29: note: ‘p4’ was declared here 175 | int *p1, *p2, *p3, *p4; | ^~ PairwiseAlignment.c:449:39: warning: ‘p1’ may be used uninitialized [-Wmaybe-uninitialized] 449 | p1[0] = l2; | ~~~~~~^~~~ PairwiseAlignment.c:175:14: note: ‘p1’ was declared here 175 | int *p1, *p2, *p3, *p4; | ^~ PairwiseAlignment.c:450:39: warning: ‘p2’ may be used uninitialized [-Wmaybe-uninitialized] 450 | p2[0] = l1 - i1; | ~~~~~~^~~~~~~~~ PairwiseAlignment.c:175:19: note: ‘p2’ was declared here 175 | int *p1, *p2, *p3, *p4; | ^~ PairwiseAlignment.c: In function ‘alignPairs’: PairwiseAlignment.c:1035:25: warning: ‘rPercentComplete’ may be used uninitialized [-Wmaybe-uninitialized] 1035 | int before, v, *rPercentComplete; | ^~~~~~~~~~~~~~~~ PairwiseAlignment.c:1037:14: warning: ‘percentComplete’ may be used uninitialized [-Wmaybe-uninitialized] 1037 | SEXP percentComplete, utilsPackage; | ^~~~~~~~~~~~~~~ PairwiseAlignment.c:1037:31: warning: ‘utilsPackage’ may be used uninitialized [-Wmaybe-uninitialized] 1037 | SEXP percentComplete, utilsPackage; | ^~~~~~~~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c PredictDBN.c -o PredictDBN.o In file included from PredictDBN.c:38: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c PredictHEC.c -o PredictHEC.o In file included from PredictHEC.c:27: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ PredictHEC.c: In function ‘predictHEC’: PredictHEC.c:236:40: warning: ‘rans’ may be used uninitialized [-Wmaybe-uninitialized] 236 | *(rans + 3*j) = H; | ~~~~~~^~~~~~ PredictHEC.c:41:31: note: ‘rans’ was declared here 41 | double H, E, C, sum, *rans; | ^~~~ PredictHEC.c:233:51: warning: ‘states’ may be used uninitialized [-Wmaybe-uninitialized] 233 | states[j] = 'C'; | ~~~~~~~~~~^~~~~ PredictHEC.c:42:15: note: ‘states’ was declared here 42 | char *states; | ^~~~~~ PredictHEC.c:255:25: warning: ‘ans’ may be used uninitialized [-Wmaybe-uninitialized] 255 | SET_VECTOR_ELT(ret, i, ans); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ PredictHEC.c:49:19: note: ‘ans’ was declared here 49 | SEXP ret, ans; | ^~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_decipher.c -o R_init_decipher.o In file included from R_init_decipher.c:25: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c S4Vectors_stubs.c -o S4Vectors_stubs.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Search.c -o Search.o In file included from Search.c:44: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ Search.c: In function ‘searchIndex._omp_fn.0’: Search.c:475:75: warning: ‘maxLen’ may be used uninitialized [-Wmaybe-uninitialized] 475 | if (deltaTarget >= maxSep + maxLen) { | ~~~~~~~^~~~~~~~ Search.c:449:37: note: ‘maxLen’ was declared here 449 | int maxLen; // maximum observed length | ^~~~~~ Search.c:443:51: warning: ‘s_j.ptr’ may be used uninitialized [-Wmaybe-uninitialized] 443 | Chars_holder p_i, s_j; | ^~~ Search.c:515:47: warning: ‘s_j.length’ may be used uninitialized [-Wmaybe-uninitialized] 515 | bound = s_j.length - 1; // right bound | ~~~~~~^~~~~~~~~~~~~~~~ Search.c:443:51: note: ‘s_j.length’ was declared here 443 | Chars_holder p_i, s_j; | ^~~ Search.c: In function ‘searchIndex’: Search.c:208:17: warning: ‘sM’ may be used uninitialized [-Wmaybe-uninitialized] 208 | #pragma omp parallel for private(i,j,k,p,c) schedule(dynamic) num_threads(nthreads) | ^~~ Search.c:104:17: note: ‘sM’ was declared here 104 | double *sM, dS; | ^~ Search.c:208:17: warning: ‘dS’ may be used uninitialized [-Wmaybe-uninitialized] 208 | #pragma omp parallel for private(i,j,k,p,c) schedule(dynamic) num_threads(nthreads) | ^~~ Search.c:104:21: note: ‘dS’ was declared here 104 | double *sM, dS; | ^~ Search.c:105:14: warning: ‘lkup_row’ may be used uninitialized [-Wmaybe-uninitialized] 105 | int *lkup_row, *lkup_col; | ^~~~~~~~ Search.c:105:25: warning: ‘lkup_col’ may be used uninitialized [-Wmaybe-uninitialized] 105 | int *lkup_row, *lkup_col; | ^~~~~~~~ Search.c:208:17: warning: ‘rPercentComplete’ may be used uninitialized [-Wmaybe-uninitialized] 208 | #pragma omp parallel for private(i,j,k,p,c) schedule(dynamic) num_threads(nthreads) | ^~~ Search.c:133:25: note: ‘rPercentComplete’ was declared here 133 | int before, v, *rPercentComplete; | ^~~~~~~~~~~~~~~~ Search.c:135:14: warning: ‘percentComplete’ may be used uninitialized [-Wmaybe-uninitialized] 135 | SEXP percentComplete, utilsPackage; | ^~~~~~~~~~~~~~~ Search.c:135:31: warning: ‘utilsPackage’ may be used uninitialized [-Wmaybe-uninitialized] 135 | SEXP percentComplete, utilsPackage; | ^~~~~~~~~~~~ Search.c:208:17: warning: ‘matrices’ may be used uninitialized [-Wmaybe-uninitialized] 208 | #pragma omp parallel for private(i,j,k,p,c) schedule(dynamic) num_threads(nthreads) | ^~~ Search.c:201:16: note: ‘matrices’ was declared here 201 | int ***matrices; | ^~~~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c TerminalMismatch.c -o TerminalMismatch.o In file included from TerminalMismatch.c:28: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Translate.c -o Translate.o In file included from Translate.c:32: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Utils.c -o Utils.o In file included from Utils.c:34: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ Utils.c:1063:6: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 1063 | SEXP detectCores() | ^~~~~~~~~~~ Utils.c: In function ‘splitPartitions’: Utils.c:982:35: warning: ‘change’ may be used uninitialized [-Wmaybe-uninitialized] 982 | } else if (change - j >= m && // large enough partition | ~~~~~~~^~~ Utils.c:976:13: note: ‘change’ was declared here 976 | int change; // index before start of partition | ^~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c VectorSums.c -o VectorSums.o In file included from VectorSums.c:31: DECIPHER.h:7:19: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 7 | static inline int checkInterrupt() { | ^~~~~~~~~~~~~~ DECIPHER.h:118:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 118 | SEXP detectCores(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c XVector_stubs.c -o XVector_stubs.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o DECIPHER.so AlignProfiles.o AssignIndels.o Biostrings_stubs.o CalculateDeltaG.o CalculateFISH.o ChainSegments.o Cluster.o ClusterML.o ClusterMP.o Compositions.o Compression.o ConsensusSequence.o DesignProbes.o Diff.o DistanceMatrix.o EnumerateSequence.o ExpandAmbiguities.o FindFrameshifts.o GeneFinding.o GetPools.o Import.o InformationContent.o IntDist.o ManipulateXStringSet.o MeltPolymer.o MovingAverage.o NNLS.o Order.o PairwiseAlignment.o PredictDBN.o PredictHEC.o R_init_decipher.o S4Vectors_stubs.o Search.o TerminalMismatch.o Translate.o Utils.o VectorSums.o XVector_stubs.o -fopenmp -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpMgGArt/R.INSTALL2d019b5dbfb57/DECIPHER/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-DECIPHER/00new/DECIPHER/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DECIPHER) begin installing package ‘FateID’ * installing *source* package ‘ALDEx2’ ... ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ALDEx2) begin installing package ‘batchelor’ * installing *source* package ‘analogue’ ... ** package ‘analogue’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp7Nee1J/R.INSTALL2d312c6743ef48/analogue/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c distx.c -o distx.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c distxy.c -o distxy.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c wastats.c -o wastats.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o analogue.so distx.o distxy.o init.o wastats.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp7Nee1J/R.INSTALL2d312c6743ef48/analogue/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-analogue/00new/analogue/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (analogue) begin installing package ‘slingshot’ * installing *source* package ‘BAT’ ... ** package ‘BAT’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BAT) begin installing package ‘paco’ * installing *source* package ‘rioja’ ... ** package ‘rioja’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp59co8a/R.INSTALL2d31184405ba68/rioja/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c analog.c -o analog.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c chclust.cpp -o chclust.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dmatinv.cpp -o dmatinv.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mat.cpp -o mat.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mlrc.cpp -o mlrc.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils2.c -o utils2.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c wapls.cpp -o wapls.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o rioja.so analog.o chclust.o dmatinv.o init.o mat.o mlrc.o utils2.o wapls.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp59co8a/R.INSTALL2d31184405ba68/rioja/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-rioja/00new/rioja/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rioja) begin installing package ‘ProjectionBasedClustering’ * installing *source* package ‘sads’ ... ** package ‘sads’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp0OECuJ/R.INSTALL2d3058f3d4abe/sads/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gauss_legendre.c -o gauss_legendre.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c volkov.c -o volkov.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o sads.so gauss_legendre.o init.o volkov.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp0OECuJ/R.INSTALL2d3058f3d4abe/sads/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-sads/00new/sads/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sads) begin installing package ‘groupdata2’ * installing *source* package ‘ecr’ ... ** package ‘ecr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpvyxfSQ/R.INSTALL2d2fd24bc9f1d4/ecr/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -DVARIANT=4 -c -o avl.o avl.c gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c computeHypervolume.c -o computeHypervolume.o In file included from computeHypervolume.c:4: computeHypervolume.c: In function ‘computeHVC’: computeHypervolume.c:18:52: warning: unused variable ‘len_ref’ [-Wunused-variable] 18 | EXTRACT_NUMERIC_VECTOR(r_ref_point, c_ref_point, len_ref); | ^~~~~~~ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ computeHypervolume.c: In function ‘computeHVContributionC’: computeHypervolume.c:44:52: warning: unused variable ‘n_ref_point’ [-Wunused-variable] 44 | EXTRACT_NUMERIC_VECTOR(r_ref_point, c_ref_point, n_ref_point); | ^~~~~~~~~~~ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c crowdingDistance.c -o crowdingDistance.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dominance.c -o dominance.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c emoa.indicators.cpp -o emoa.indicators.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c eps_ind.c -o eps_ind.o In file included from eps_ind.c:38: eps_ind.c: In function ‘emoaIndEpsC’: eps_ind.c:112:52: warning: unused variable ‘n_ref_objectives’ [-Wunused-variable] 112 | EXTRACT_NUMERIC_MATRIX(ref_points, c_ref_points, n_ref_objectives, n_ref_points); | ^~~~~~~~~~~~~~~~ macros.h:11:19: note: in definition of macro ‘EXTRACT_NUMERIC_MATRIX’ 11 | const R_len_t N_ROW = nrows(S_EXP); \ | ^~~~~ eps_ind.c:64:16: warning: ‘eps_j’ may be used uninitialized [-Wmaybe-uninitialized] 64 | double eps, eps_j, eps_k, eps_temp; | ^~~~~ In file included from eps_ind.c:36: /home/hornik/tmp/R-d-gcc-14/include/Rinternals.h:1035:33: warning: ‘eps’ may be used uninitialized [-Wmaybe-uninitialized] 1035 | #define ScalarReal Rf_ScalarReal eps_ind.c:120:10: note: in expansion of macro ‘ScalarReal’ 120 | return ScalarReal(eps_ind); | ^~~~~~~~~~ eps_ind.c:64:11: note: ‘eps’ was declared here 64 | double eps, eps_j, eps_k, eps_temp; | ^~~ eps_ind.c:64:23: warning: ‘eps_k’ may be used uninitialized [-Wmaybe-uninitialized] 64 | double eps, eps_j, eps_k, eps_temp; | ^~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c helpers.c -o helpers.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -DVARIANT=4 -c -o hv.o hv.c gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c polynomialMutation.c -o polynomialMutation.o In file included from polynomialMutation.c:4: polynomialMutation.c: In function ‘polynomialMutationC’: polynomialMutation.c:29:42: warning: unused variable ‘c_upper_length’ [-Wunused-variable] 29 | EXTRACT_NUMERIC_VECTOR(upper, c_upper, c_upper_length); | ^~~~~~~~~~~~~~ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ polynomialMutation.c:28:42: warning: unused variable ‘c_lower_length’ [-Wunused-variable] 28 | EXTRACT_NUMERIC_VECTOR(lower, c_lower, c_lower_length); | ^~~~~~~~~~~~~~ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c r_ind.c -o r_ind.o In file included from r_ind.c:35: r_ind.c: In function ‘do_unary_r2_ind’: r_ind.c:197:44: warning: unused variable ‘n_ideal’ [-Wunused-variable] 197 | EXTRACT_NUMERIC_VECTOR(s_ideal, ideal, n_ideal); | ^~~~~~~ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ r_ind.c:196:48: warning: unused variable ‘k_weights’ [-Wunused-variable] 196 | EXTRACT_NUMERIC_MATRIX(s_weights, weights, k_weights, n_weights); | ^~~~~~~~~ macros.h:11:19: note: in definition of macro ‘EXTRACT_NUMERIC_MATRIX’ 11 | const R_len_t N_ROW = nrows(S_EXP); \ | ^~~~~ r_ind.c: In function ‘computeRIndicatorC’: r_ind.c:242:44: warning: unused variable ‘n_nadir’ [-Wunused-variable] 242 | EXTRACT_NUMERIC_VECTOR(s_nadir, nadir, n_nadir); | ^~~~~~~ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ r_ind.c:241:44: warning: unused variable ‘n_ideal’ [-Wunused-variable] 241 | EXTRACT_NUMERIC_VECTOR(s_ideal, ideal, n_ideal); | ^~~~~~~ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c simulatedBinaryCrossover.c -o simulatedBinaryCrossover.o In file included from simulatedBinaryCrossover.c:4: simulatedBinaryCrossover.c: In function ‘simulatedBinaryCrossoverC’: simulatedBinaryCrossover.c:50:42: warning: unused variable ‘c_upper_length’ [-Wunused-variable] 50 | EXTRACT_NUMERIC_VECTOR(upper, c_upper, c_upper_length); | ^~~~~~~~~~~~~~ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ simulatedBinaryCrossover.c:49:42: warning: unused variable ‘c_lower_length’ [-Wunused-variable] 49 | EXTRACT_NUMERIC_VECTOR(lower, c_lower, c_lower_length); | ^~~~~~~~~~~~~~ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ simulatedBinaryCrossover.c:46:49: warning: unused variable ‘n’ [-Wunused-variable] 46 | EXTRACT_NUMERIC_MATRIX(parents, c_parents, d, n); | ^ macros.h:12:19: note: in definition of macro ‘EXTRACT_NUMERIC_MATRIX’ 12 | const R_len_t N_COL = ncols(S_EXP); | ^~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o ecr.so RcppExports.o avl.o computeHypervolume.o crowdingDistance.o dominance.o emoa.indicators.o eps_ind.o helpers.o hv.o polynomialMutation.o r_ind.o simulatedBinaryCrossover.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpvyxfSQ/R.INSTALL2d2fd24bc9f1d4/ecr/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-ecr/00new/ecr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ecr) begin installing package ‘microbiome’ * installing *source* package ‘MultiAssayExperiment’ ... ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MultiAssayExperiment) begin installing package ‘Arothron’ * installing *source* package ‘paco’ ... ** package ‘paco’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (paco) begin installing package ‘DRR’ * installing *source* package ‘SYNCSA’ ... ** package ‘SYNCSA’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SYNCSA) begin installing package ‘abc’ * installing *source* package ‘scater’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (scater) begin installing package ‘ecoCopula’ * installing *source* package ‘MetaNet’ ... ** package ‘MetaNet’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MetaNet) begin installing package ‘gllvm’ * installing *source* package ‘TSCAN’ ... ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (TSCAN) begin installing package ‘mapedit’ * installing *source* package ‘geomorph’ ... ** package ‘geomorph’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (geomorph) begin installing package ‘metacoder’ * installing *source* package ‘iCAMP’ ... ** package ‘iCAMP’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (iCAMP) begin installing package ‘pathview’ * installing *source* package ‘FateID’ ... ** package ‘FateID’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (FateID) begin installing package ‘PADOG’ * installing *source* package ‘Rphylopars’ ... ** package ‘Rphylopars’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmphoBFaN/R.INSTALL2d1f6e7eb7760/Rphylopars/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phylopars_rcpp.cpp -o phylopars_rcpp.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o Rphylopars.so RcppExports.o phylopars_rcpp.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmphoBFaN/R.INSTALL2d1f6e7eb7760/Rphylopars/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-Rphylopars/00new/Rphylopars/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rphylopars) begin installing package ‘warbleR’ * installing *source* package ‘groupdata2’ ... ** package ‘groupdata2’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Note: wrong number of arguments to 'floor' ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (groupdata2) begin installing package ‘evolqg’ * installing *source* package ‘zetadiv’ ... ** package ‘zetadiv’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (zetadiv) begin installing package ‘soilDB’ * installing *source* package ‘DRR’ ... ** package ‘DRR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DRR) begin installing package ‘biblio’ * installing *source* package ‘mapedit’ ... ** package ‘mapedit’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mapedit) begin installing package ‘rangeModelMetadata’ * installing *source* package ‘ccaPP’ ... ** package ‘ccaPP’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpnPJLR5/R.INSTALL2d21887a189cc6/ccaPP/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cca.cpp -o cca.o In file included from /home/hornik/tmp/R-d-gcc-14/include/R.h:73, from cca.cpp:6: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/exceptions/cpp11/exceptions.h: In function ‘void Rcpp::Rf_warning(const char*, Args&& ...) [with Args = {const char*}]’: /home/hornik/tmp/R-d-gcc-14/include/R_ext/Error.h:91:17: warning: infinite recursion detected [-Winfinite-recursion] 91 | #define warning Rf_warning | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/exceptions/cpp11/exceptions.h:46:13: note: in expansion of macro ‘warning’ 46 | inline void warning(const char* fmt, Args&&... args ) { | ^~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/exceptions.h:180, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:130, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo.h:29, from cca.h:11, from cca.cpp:7: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/exceptions/cpp11/exceptions.h:47:15: note: recursive call 47 | Rf_warning("%s", tfm::format(fmt, std::forward(args)... ).c_str()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ccaPP_init.c -o ccaPP_init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cor.cpp -o cor.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastCorKendall.cpp -o fastCorKendall.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cpp -o utils.o In file included from /home/hornik/tmp/R-d-gcc-14/include/R.h:73, from utils.cpp:6: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/exceptions/cpp11/exceptions.h: In function ‘void Rcpp::Rf_warning(const char*, Args&& ...) [with Args = {const char*}]’: /home/hornik/tmp/R-d-gcc-14/include/R_ext/Error.h:91:17: warning: infinite recursion detected [-Winfinite-recursion] 91 | #define warning Rf_warning | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/exceptions/cpp11/exceptions.h:46:13: note: in expansion of macro ‘warning’ 46 | inline void warning(const char* fmt, Args&&... args ) { | ^~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/exceptions.h:180, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:130, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo.h:29, from utils.h:11, from utils.cpp:7: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/exceptions/cpp11/exceptions.h:47:15: note: recursive call 47 | Rf_warning("%s", tfm::format(fmt, std::forward(args)... ).c_str()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o ccaPP.so cca.o ccaPP_init.o cor.o fastCorKendall.o utils.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpnPJLR5/R.INSTALL2d21887a189cc6/ccaPP/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-ccaPP/00new/ccaPP/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ccaPP) begin installing package ‘red’ * installing *source* package ‘abc’ ... ** package ‘abc’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (abc) begin installing package ‘Claddis’ * installing *source* package ‘ecoCopula’ ... ** package ‘ecoCopula’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ecoCopula) begin installing package ‘NST’ * installing *source* package ‘Arothron’ ... ** package ‘Arothron’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Arothron) begin installing package ‘Mfuzz’ * installing *source* package ‘Compositional’ ... ** package ‘Compositional’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Compositional) begin installing package ‘morphomap’ * installing *source* package ‘biblio’ ... ** package ‘biblio’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading in method for ‘coerce’ with signature ‘"lib_df","bibentry"’: no definition for class “bibentry” in method for ‘coerce’ with signature ‘"bibentry","lib_df"’: no definition for class “bibentry” ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (biblio) begin installing package ‘ggstatsplot’ * installing *source* package ‘Mfuzz’ ... ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help Warning: /home/hornik/tmp/scratch/RtmpN8kXfj/R.INSTALL2d3d8649931f61/Mfuzz/man/cselection.Rd:25: unexpected '}' Warning: cselection.Rd:25: All text must be in a section *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Mfuzz) begin installing package ‘mia’ * installing *source* package ‘NST’ ... ** package ‘NST’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (NST) begin installing package ‘taxlist’ * installing *source* package ‘soilDB’ ... ** package ‘soilDB’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (soilDB) begin installing package ‘hierfstat’ * installing *source* package ‘ggstatsplot’ ... ** package ‘ggstatsplot’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggstatsplot) begin installing package ‘adephylo’ * installing *source* package ‘PADOG’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (PADOG) begin installing package ‘betapart’ * installing *source* package ‘Claddis’ ... ** package ‘Claddis’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Claddis) begin installing package ‘hillR’ * installing *source* package ‘ShortRead’ ... ** using staged installation checking for gcc... gcc-14 checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether gcc-14 accepts -g... yes checking for gcc-14 option to accept ISO C89... none needed checking for gzeof in -lz... yes checking how to run the C preprocessor... gcc-14 -E checking for grep that handles long lines and -e... /usr/bin/grep checking for egrep... /usr/bin/grep -E checking for ANSI C header files... yes checking for sys/types.h... yes checking for sys/stat.h... yes checking for stdlib.h... yes checking for string.h... yes checking for memory.h... yes checking for strings.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for unistd.h... yes checking size of unsigned long... 8 configure: creating ./config.status config.status: creating src/Makevars ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpDIwRhk/R.INSTALL2d2281643c8798/ShortRead/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Biostrings_stubs.c -o Biostrings_stubs.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c IRanges_stubs.c -o IRanges_stubs.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_ShortRead.c -o R_init_ShortRead.o In file included from R_init_ShortRead.c:1: ShortRead.h:26:5: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 26 | SEXP _get_strand_levels(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c S4Vectors_stubs.c -o S4Vectors_stubs.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c XVector_stubs.c -o XVector_stubs.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c alphabet.c -o alphabet.o In file included from alphabet.c:1: ShortRead.h:26:5: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 26 | SEXP _get_strand_levels(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c count.c -o count.o In file included from count.c:1: ShortRead.h:26:5: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 26 | SEXP _get_strand_levels(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c io.c -o io.o In file included from io.c:4: ShortRead.h:26:5: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 26 | SEXP _get_strand_levels(); | ^~~~ io.c: In function ‘read_prb_as_character’: io.c:227:38: warning: format ‘%f’ expects argument of type ‘double’, but argument 2 has type ‘const char *’ [-Wformat=] 227 | error("could not read file '%f'", translateChar(STRING_ELT(fname, 0))); | ~^ | | | double | %s io.c: In function ‘_read_solexa_export_file’: io.c:658:49: warning: format ‘%s’ expects argument of type ‘char *’, but argument 2 has type ‘int’ [-Wformat=] 658 | error("invalid 'strand' field '%s', %s:%d", | ~^ | | | char * | %d 659 | *elt[13], fname, lineno); | ~~~~~~~~ | | | int io.c:676:48: warning: format ‘%s’ expects argument of type ‘char *’, but argument 2 has type ‘int’ [-Wformat=] 676 | error("invalid 'filtering' field '%s', %s:%d", | ~^ | | | char * | %d 677 | *elt[21], fname, lineno); | ~~~~~~~~ | | | int gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c io_bowtie.c -o io_bowtie.o In file included from io_bowtie.c:2: ShortRead.h:26:5: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 26 | SEXP _get_strand_levels(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c io_soap.c -o io_soap.o In file included from io_soap.c:2: ShortRead.h:26:5: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 26 | SEXP _get_strand_levels(); | ^~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DPACKAGE_NAME=\"\" -DPACKAGE_TARNAME=\"\" -DPACKAGE_VERSION=\"\" -DPACKAGE_STRING=\"\" -DPACKAGE_BUGREPORT=\"\" -DPACKAGE_URL=\"\" -DHAVE_LIBZ=1 -DSTDC_HEADERS=1 -DHAVE_SYS_TYPES_H=1 -DHAVE_SYS_STAT_H=1 -DHAVE_STDLIB_H=1 -DHAVE_STRING_H=1 -DHAVE_MEMORY_H=1 -DHAVE_STRINGS_H=1 -DHAVE_INTTYPES_H=1 -DHAVE_STDINT_H=1 -DHAVE_UNISTD_H=1 -DSIZEOF_UNSIGNED_LONG=8 -fpic -g -O2 -Wall -pedantic -mtune=native -c readBfaToc.cc -o readBfaToc.o readBfaToc.cc: In function ‘SEXPREC* readBfaToc(SEXP)’: readBfaToc.cc:35:19: warning: ignoring return value of ‘size_t fread(void*, size_t, size_t, FILE*)’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 35 | (void) fread( seq_name, sizeof(char), name_len, fp ); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ readBfaToc.cc:36:19: warning: ignoring return value of ‘size_t fread(void*, size_t, size_t, FILE*)’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 36 | (void) fread( &seq_ori_len, sizeof(int), 1, fp ); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ readBfaToc.cc:37:19: warning: ignoring return value of ‘size_t fread(void*, size_t, size_t, FILE*)’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 37 | (void) fread( &seq_len, sizeof(int), 1, fp ); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DPACKAGE_NAME=\"\" -DPACKAGE_TARNAME=\"\" -DPACKAGE_VERSION=\"\" -DPACKAGE_STRING=\"\" -DPACKAGE_BUGREPORT=\"\" -DPACKAGE_URL=\"\" -DHAVE_LIBZ=1 -DSTDC_HEADERS=1 -DHAVE_SYS_TYPES_H=1 -DHAVE_SYS_STAT_H=1 -DHAVE_STDLIB_H=1 -DHAVE_STRING_H=1 -DHAVE_MEMORY_H=1 -DHAVE_STRINGS_H=1 -DHAVE_INTTYPES_H=1 -DHAVE_STDINT_H=1 -DHAVE_UNISTD_H=1 -DSIZEOF_UNSIGNED_LONG=8 -fpic -g -O2 -Wall -pedantic -mtune=native -c read_maq_map.cc -o read_maq_map.o In file included from read_maq_map.cc:13: maqmap_m.h: In function ‘maqmap_T* maqmap_read_header(gzFile) [with int max_readlen = 128]’: maqmap_m.h:102:18: warning: pointer ‘mm’ used after ‘void free(void*)’ [-Wuse-after-free] 102 | error("MAQ format '%d' not supported", mm->format); In function ‘void maq_delete_maqmap(maqmap_T*) [with int max_readlen = 128]’, inlined from ‘void maq_delete_maqmap(maqmap_T*) [with int max_readlen = 128]’ at maqmap_m.h:74:35, inlined from ‘maqmap_T* maqmap_read_header(gzFile) [with int max_readlen = 128]’ at maqmap_m.h:101:30: maqmap_m.h:84:14: note: call to ‘void free(void*)’ here 84 | std::free(mm); | ~~~~~~~~~^~~~ maqmap_m.h: In function ‘maqmap_T* maqmap_read_header(gzFile) [with int max_readlen = 64]’: maqmap_m.h:102:18: warning: pointer ‘mm’ used after ‘void free(void*)’ [-Wuse-after-free] 102 | error("MAQ format '%d' not supported", mm->format); In function ‘void maq_delete_maqmap(maqmap_T*) [with int max_readlen = 64]’, inlined from ‘void maq_delete_maqmap(maqmap_T*) [with int max_readlen = 64]’ at maqmap_m.h:74:35, inlined from ‘maqmap_T* maqmap_read_header(gzFile) [with int max_readlen = 64]’ at maqmap_m.h:101:30: maqmap_m.h:84:14: note: call to ‘void free(void*)’ here 84 | std::free(mm); | ~~~~~~~~~^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sampler.c -o sampler.o In file included from sampler.c:4: ShortRead.h:26:5: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 26 | SEXP _get_strand_levels(); | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c trim.c -o trim.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c util.c -o util.o In file included from util.c:3: ShortRead.h:26:5: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 26 | SEXP _get_strand_levels(); | ^~~~ util.c:80:6: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 80 | SEXP _get_strand_levels() | ^~~~~~~~~~~~~~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c xsnap.c -o xsnap.o In file included from xsnap.c:17: ShortRead.h:26:5: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 26 | SEXP _get_strand_levels(); | ^~~~ xsnap.c:42:21: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 42 | struct _BufferNode *_BufferNode_new() | ^~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o ShortRead.so Biostrings_stubs.o IRanges_stubs.o R_init_ShortRead.o S4Vectors_stubs.o XVector_stubs.o alphabet.o count.o io.o io_bowtie.o io_soap.o readBfaToc.o read_maq_map.o sampler.o trim.o util.o xsnap.o -lz -fopenmp -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpDIwRhk/R.INSTALL2d2281643c8798/ShortRead/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-ShortRead/00new/ShortRead/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ShortRead) begin installing package ‘dartR.data’ * installing *source* package ‘hillR’ ... ** package ‘hillR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hillR) begin installing package ‘StAMPP’ * installing *source* package ‘pathview’ ... ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pathview) begin installing package ‘mmod’ * installing *source* package ‘BiodiversityR’ ... ** package ‘BiodiversityR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BiodiversityR) begin installing package ‘gawdis’ * installing *source* package ‘morphomap’ ... ** package ‘morphomap’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (morphomap) begin installing package ‘mirtCAT’ * installing *source* package ‘slingshot’ ... ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading in method for ‘slingshot’ with signature ‘data="ClusterExperiment"’: no definition for class “ClusterExperiment” ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (slingshot) * installing *source* package ‘hierfstat’ ... ** package ‘hierfstat’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hierfstat) begin installing package ‘phyloseqGraphTest’ begin installing package ‘dada2’ * installing *source* package ‘microbiome’ ... ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (microbiome) * installing *source* package ‘StereoMorph’ ... ** package ‘StereoMorph’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpPrUI6s/R.INSTALL2d2f12d1f5d59/StereoMorph/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c StereoMorph_init.c -o StereoMorph_init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dilateImage.cpp -o dilateImage.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c drawRectangle.cpp -o drawRectangle.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c equalizeImageHist.cpp -o equalizeImageHist.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c erodeImage.cpp -o erodeImage.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c findBoundaryPoints.cpp -o findBoundaryPoints.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c findCornerSubPix.cpp -o findCornerSubPix.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c generateQuads.cpp -o generateQuads.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c meanBlurImage.cpp -o meanBlurImage.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rgbToGray.cpp -o rgbToGray.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c thresholdImageMatrix.cpp -o thresholdImageMatrix.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o StereoMorph.so RcppExports.o StereoMorph_init.o dilateImage.o drawRectangle.o equalizeImageHist.o erodeImage.o findBoundaryPoints.o findCornerSubPix.o generateQuads.o meanBlurImage.o rgbToGray.o thresholdImageMatrix.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpPrUI6s/R.INSTALL2d2f12d1f5d59/StereoMorph/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-StereoMorph/00new/StereoMorph/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (StereoMorph) * installing *source* package ‘betapart’ ... ** package ‘betapart’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (betapart) begin installing package ‘phyloregion’ * installing *source* package ‘taxlist’ ... ** package ‘taxlist’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘print’ in package ‘taxlist’ ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (taxlist) * installing *source* package ‘warbleR’ ... ** package ‘warbleR’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpKj4vXA/R.INSTALL2d3b5579f66c53/warbleR/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c envelope.cpp -o envelope.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o warbleR.so RcppExports.o envelope.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpKj4vXA/R.INSTALL2d3b5579f66c53/warbleR/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-warbleR/00new/warbleR/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (warbleR) * installing *source* package ‘gawdis’ ... ** package ‘gawdis’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gawdis) * installing *source* package ‘evolqg’ ... ** package ‘evolqg’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpxh7i13/R.INSTALL2d3b777f8c65c3/evolqg/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fast_RS.cpp -o fast_RS.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o evolqg.so RcppExports.o fast_RS.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpxh7i13/R.INSTALL2d3b777f8c65c3/evolqg/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-evolqg/00new/evolqg/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (evolqg) * installing *source* package ‘mmod’ ... ** package ‘mmod’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mmod) begin installing package ‘PopGenReport’ * installing *source* package ‘rangeModelMetadata’ ... ** package ‘rangeModelMetadata’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rangeModelMetadata) begin installing package ‘ENMeval’ * installing *source* package ‘StAMPP’ ... ** package ‘StAMPP’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (StAMPP) * installing *source* package ‘metacoder’ ... ** package ‘metacoder’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpdnkGIl/R.INSTALL2d3a8e3d66edd4/metacoder/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c repel_boxes.cpp -o repel_boxes.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o metacoder.so RcppExports.o repel_boxes.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpdnkGIl/R.INSTALL2d3a8e3d66edd4/metacoder/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-metacoder/00new/metacoder/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (metacoder) * installing *source* package ‘adephylo’ ... ** package ‘adephylo’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpooCQXo/R.INSTALL2d40354228abd5/adephylo/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c adesub.c -o adesub.o adesub.c: In function ‘getpermutation’: adesub.c:479:15: warning: unused variable ‘seed’ [-Wunused-variable] 479 | int i, n, seed; | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c distPhylo.c -o distPhylo.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c misc.c -o misc.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phylog.c -o phylog.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sptips.c -o sptips.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o adephylo.so adesub.o distPhylo.o init.o misc.o phylog.o sptips.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpooCQXo/R.INSTALL2d40354228abd5/adephylo/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-adephylo/00new/adephylo/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (adephylo) begin installing package ‘adespatial’ begin installing package ‘phylosignal’ * installing *source* package ‘landscapemetrics’ ... ** package ‘landscapemetrics’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpG3Pbak/R.INSTALL2d1eaf63b24c15/landscapemetrics/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_cclabel.cpp -o rcpp_cclabel.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_create_neighborhood.cpp -o rcpp_create_neighborhood.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_get_boundaries.cpp -o rcpp_get_boundaries.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_get_circle.cpp -o rcpp_get_circle.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_get_class_index_map.cpp -o rcpp_get_class_index_map.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_get_composition_vector.cpp -o rcpp_get_composition_vector.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_get_coocurrence_matrix.cpp -o rcpp_get_coocurrence_matrix.o rcpp_get_coocurrence_matrix.cpp: In function ‘Rcpp::IntegerMatrix rcpp_get_coocurrence_matrix(const Rcpp::IntegerMatrix&, arma::imat)’: rcpp_get_coocurrence_matrix.cpp:43:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 43 | neig_col < ncols && | ~~~~~~~~~^~~~~~~ rcpp_get_coocurrence_matrix.cpp:44:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 44 | neig_row < nrows) { | ~~~~~~~~~^~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_get_coocurrence_matrix_diag.cpp -o rcpp_get_coocurrence_matrix_diag.o rcpp_get_coocurrence_matrix_diag.cpp: In function ‘Rcpp::IntegerVector rcpp_get_coocurrence_matrix_diag(const Rcpp::IntegerMatrix&, arma::imat)’: rcpp_get_coocurrence_matrix_diag.cpp:43:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 43 | neig_col < ncols && | ~~~~~~~~~^~~~~~~ rcpp_get_coocurrence_matrix_diag.cpp:44:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 44 | neig_row < nrows) { | ~~~~~~~~~^~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_get_coocurrence_matrix_single.cpp -o rcpp_get_coocurrence_matrix_single.o rcpp_get_coocurrence_matrix_single.cpp: In function ‘Rcpp::IntegerMatrix rcpp_get_coocurrence_matrix_single(const Rcpp::IntegerMatrix&, arma::imat, int)’: rcpp_get_coocurrence_matrix_single.cpp:48:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 48 | neig_col < ncols && | ~~~~~~~~~^~~~~~~ rcpp_get_coocurrence_matrix_single.cpp:49:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 49 | neig_row < nrows) { | ~~~~~~~~~^~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_get_coocurrence_vector.cpp -o rcpp_get_coocurrence_vector.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_get_entropy.cpp -o rcpp_get_entropy.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_get_nearest_neighbor.cpp -o rcpp_get_nearest_neighbor.o rcpp_get_nearest_neighbor.cpp: In function ‘Rcpp::NumericVector find_min(const Rcpp::NumericMatrix&, int, int)’: rcpp_get_nearest_neighbor.cpp:59:17: warning: ‘id0’ may be used uninitialized [-Wmaybe-uninitialized] 59 | dist_vec(1) = id0; | ~~~~~~~~~~~~^~~~~ rcpp_get_nearest_neighbor.cpp:19:12: note: ‘id0’ was declared here 19 | int k, id0; | ^~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_get_unique_values.cpp -o rcpp_get_unique_values.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_smallest_circle.cpp -o rcpp_smallest_circle.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o landscapemetrics.so RcppExports.o rcpp_cclabel.o rcpp_create_neighborhood.o rcpp_get_boundaries.o rcpp_get_circle.o rcpp_get_class_index_map.o rcpp_get_composition_vector.o rcpp_get_coocurrence_matrix.o rcpp_get_coocurrence_matrix_diag.o rcpp_get_coocurrence_matrix_single.o rcpp_get_coocurrence_vector.o rcpp_get_entropy.o rcpp_get_nearest_neighbor.o rcpp_get_unique_values.o rcpp_smallest_circle.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpG3Pbak/R.INSTALL2d1eaf63b24c15/landscapemetrics/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-landscapemetrics/00new/landscapemetrics/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (landscapemetrics) * installing *source* package ‘batchelor’ ... ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpnDcmz8/R.INSTALL2d370228b0e458/batchelor/src' g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c adjust_shift_variance.cpp -o adjust_shift_variance.o adjust_shift_variance.cpp: In function ‘Rcpp::NumericVector adjust_shift_variance(Rcpp::NumericMatrix, Rcpp::NumericMatrix, Rcpp::NumericMatrix, double, Rcpp::IntegerVector, Rcpp::IntegerVector)’: adjust_shift_variance.cpp:34:16: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘int’ [-Wsign-compare] 34 | if (ngenes != data2.nrow() || ngenes != vect.ncol()) { | ~~~~~~~^~~~~~~~~~~~~~~ adjust_shift_variance.cpp:34:42: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘int’ [-Wsign-compare] 34 | if (ngenes != data2.nrow() || ngenes != vect.ncol()) { | ~~~~~~~^~~~~~~~~~~~~~ adjust_shift_variance.cpp:39:16: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘int’ [-Wsign-compare] 39 | if (ncells != vect.nrow()) { | ~~~~~~~^~~~~~~~~~~~~~ adjust_shift_variance.cpp:118:39: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 118 | for (size_t other=0; other::run(double*, int, int, double*, int, double, double, int, int, int, int, bool, int, double, double, double*, bool, double) [with treeT = SplitTree; double (* dist_fn)(const DataPoint&, const DataPoint&) = euclidean_distance]’, inlined from ‘Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)’ at tsne.cpp:653:23: tsne.cpp:186:17: warning: ‘error_rc_prev’ may be used uninitialized [-Wmaybe-uninitialized] 186 | if (error_rc < error_rc_prev && iter > auto_iter_buffer_ee) { | ^~ tsne.cpp: In function ‘Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)’: tsne.cpp:159:12: note: ‘error_rc_prev’ was declared here 159 | double error_rc_prev; // to store previous iteration's error rate of change in auto_iter mode | ^~~~~~~~~~~~~ In member function ‘double TSNE::computeGradient(int*, int*, double*, double*, int, int, double*, double, bool) [with treeT = SplitTree; double (* dist_fn)(const DataPoint&, const DataPoint&) = euclidean_distance]’, inlined from ‘void TSNE::run(double*, int, int, double*, int, double, double, int, int, int, int, bool, int, double, double, double*, bool, double) [with treeT = SplitTree; double (* dist_fn)(const DataPoint&, const DataPoint&) = euclidean_distance]’ at tsne.cpp:180:39, inlined from ‘Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)’ at tsne.cpp:653:23: tsne.cpp:271:13: warning: ‘need_eval_error_algo’ may be used uninitialized [-Wmaybe-uninitialized] 271 | #pragma omp parallel for reduction(+:P_i_sum,C) | ^~~ tsne.cpp: In function ‘Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)’: tsne.cpp:169:14: note: ‘need_eval_error_algo’ was declared here 169 | bool need_eval_error_algo, need_eval_error_verbose = false; | ^~~~~~~~~~~~~~~~~~~~ In member function ‘void TSNE::run(double*, int, int, double*, int, double, double, int, int, int, int, bool, int, double, double, double*, bool, double) [with treeT = SplitTree; double (* dist_fn)(const DataPoint&, const DataPoint&) = euclidean_distance_squared]’, inlined from ‘Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)’ at tsne.cpp:649:23: tsne.cpp:186:17: warning: ‘error_rc_prev’ may be used uninitialized [-Wmaybe-uninitialized] 186 | if (error_rc < error_rc_prev && iter > auto_iter_buffer_ee) { | ^~ tsne.cpp: In function ‘Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)’: tsne.cpp:159:12: note: ‘error_rc_prev’ was declared here 159 | double error_rc_prev; // to store previous iteration's error rate of change in auto_iter mode | ^~~~~~~~~~~~~ In member function ‘double TSNE::computeGradient(int*, int*, double*, double*, int, int, double*, double, bool) [with treeT = SplitTree; double (* dist_fn)(const DataPoint&, const DataPoint&) = euclidean_distance_squared]’, inlined from ‘void TSNE::run(double*, int, int, double*, int, double, double, int, int, int, int, bool, int, double, double, double*, bool, double) [with treeT = SplitTree; double (* dist_fn)(const DataPoint&, const DataPoint&) = euclidean_distance_squared]’ at tsne.cpp:180:39, inlined from ‘Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)’ at tsne.cpp:649:23: tsne.cpp:271:13: warning: ‘need_eval_error_algo’ may be used uninitialized [-Wmaybe-uninitialized] 271 | #pragma omp parallel for reduction(+:P_i_sum,C) | ^~~ tsne.cpp: In function ‘Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)’: tsne.cpp:169:14: note: ‘need_eval_error_algo’ was declared here 169 | bool need_eval_error_algo, need_eval_error_verbose = false; | ^~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o ProjectionBasedClustering.so DijkstraSSSP.o NeRV.o RcppExports.o c_measure.o calculatedistancematrix.o conjugategradientopt.o conttrust.o datamatrix.o dataset.o distancematrix.o dynamicdouble.o euclidean.o euclideansquared.o exception.o goldensectionsearch.o inputprobentropy.o klmeasure.o klrank.o nervcostfunction.o nervoptstrat.o nervprobability.o randomdatagenerator.o rankmatrix.o recorder.o splittree.o tsne.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -fopenmp -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp7wfUYb/R.INSTALL2d377063ea07e7/ProjectionBasedClustering/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-ProjectionBasedClustering/00new/ProjectionBasedClustering/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ProjectionBasedClustering) begin installing package ‘smacofx’ * installing *source* package ‘DatabionicSwarm’ ... ** package ‘DatabionicSwarm’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpS5CR46/R.INSTALL2d364b3cec10f5/DatabionicSwarm/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Delta3DWeightsC.cpp -o Delta3DWeightsC.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DijkstraSSSP.cpp -o DijkstraSSSP.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PswarmRadiusParallel.cpp -o PswarmRadiusParallel.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb.h:32, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel/TBB.h:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel.h:24, from PswarmRadiusParallel.cpp:3: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PswarmRadiusSequential.cpp -o PswarmRadiusSequential.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c findPossiblePositionsCsingle.cpp -o findPossiblePositionsCsingle.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rDistanceToroidCsingle.cpp -o rDistanceToroidCsingle.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcppPar_DistanceToroid.cpp -o rcppPar_DistanceToroid.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb.h:32, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel/TBB.h:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel.h:24, from rcppPar_DistanceToroid.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sampleC.cpp -o sampleC.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c trainstepC.cpp -o trainstepC.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c trainstepC2.cpp -o trainstepC2.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb.h:32, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel/TBB.h:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel.h:24, from trainstepC2.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o DatabionicSwarm.so Delta3DWeightsC.o DijkstraSSSP.o PswarmRadiusParallel.o PswarmRadiusSequential.o RcppExports.o findPossiblePositionsCsingle.o rDistanceToroidCsingle.o rcppPar_DistanceToroid.o sampleC.o trainstepC.o trainstepC2.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpS5CR46/R.INSTALL2d364b3cec10f5/DatabionicSwarm/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-DatabionicSwarm/00new/DatabionicSwarm/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DatabionicSwarm) * installing *source* package ‘castor’ ... ** package ‘castor’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpBHzFCN/R.INSTALL2d2d736282072d/castor/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c STMathExpression.cpp -o STMathExpression.o STMathExpression.cpp:10: warning: ignoring ‘#pragma mark ’ [-Wunknown-pragmas] 10 | #pragma mark - STMathExpression.cpp:11: warning: ignoring ‘#pragma mark String’ [-Wunknown-pragmas] 11 | #pragma mark String manipulations STMathExpression.cpp:12: warning: ignoring ‘#pragma mark ’ [-Wunknown-pragmas] 12 | #pragma mark STMathExpression.cpp:65: warning: ignoring ‘#pragma mark ’ [-Wunknown-pragmas] 65 | #pragma mark - STMathExpression.cpp:66: warning: ignoring ‘#pragma mark MathExpression’ [-Wunknown-pragmas] 66 | #pragma mark MathExpression STMathExpression.cpp:67: warning: ignoring ‘#pragma mark ’ [-Wunknown-pragmas] 67 | #pragma mark STMathExpression.cpp: In static member function ‘static long int MathExpression::splitBinaryOperatorInverseOrder(const std::string&, long int, long int, const std::vector&)’: STMathExpression.cpp:256:42: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 256 | else if(j==string::npos){ if(!STMath_isReal(expression.substr(0,i-1))) return getLeftMostOfPlusMinusOperatorChain(expression,start,i); } | ~^~~~~~~~~~~~~~ STMathExpression.cpp: In member function ‘std::string MathExpression::parseBlock(const std::string&, long int, long int, const std::vector&, const std::map, long int>&, const std::map, long int>&, long int, bool)’: STMathExpression.cpp:313:105: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 313 | if(isWhiteSpace(expression,start,end)) return "Missing "+(start==0 ? "leading expression" : (end==expression.size()-1 ? "trailing expression" : "expression between '"+expression.substr(0,start)+"' and '"+expression.substr(end+1)+"'")); | ~~~^~~~~~~~~~~~~~~~~~~~~ STMathExpression.cpp:359:37: warning: comparison of integer expressions of different signedness: ‘const long int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 359 | if((rightMostBracket==string::npos) || (rightMostBracket&)’: STMathExpression.cpp:463:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 463 | for(long i=0; i&)’: STMathExpression.cpp:500:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 500 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 953 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 957 | for(long i=0; i&) const’: STMathExpression.cpp:981:34: warning: comparison of integer expressions of different signedness: ‘const __gnu_cxx::__alloc_traits, long int>::value_type’ {aka ‘const long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 981 | if(variableIDs[i]>=x.size()){ variableValues[i]=0; } STMathExpression.cpp: In member function ‘double MathExpression::operator()(const std::vector&, long int, ...) const’: STMathExpression.cpp:1044:34: warning: comparison of integer expressions of different signedness: ‘const __gnu_cxx::__alloc_traits, long int>::value_type’ {aka ‘const long int’} and ‘long unsigned int’ [-Wsign-compare] 1044 | if(variableIDs[i]>=x.size()+numberOfAdditionalVariables){ variableValues[i]=0; } STMathExpression.cpp:1045:39: warning: comparison of integer expressions of different signedness: ‘const __gnu_cxx::__alloc_traits, long int>::value_type’ {aka ‘const long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1045 | else if(variableIDs[i] >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1195 | for(long i=0; i >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1202 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1258 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1269 | for(long n=0; n&)’: STMathExpression.cpp:1378:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1378 | for(long i=0; i&) const [with TYPE = long int; std::ostream = std::basic_ostream]’: STMathExpression.cpp:961:14: required from here 961 | printTuple(stream, stackArguments[i]); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ STMathExpression.cpp:1227:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1227 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 334 | for(long i=0; i >&)’: phylogenetics_cpp_routines.cpp:357:46: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 357 | while((max_Nparts<0) || (parts.size()::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 359 | if(pos==string::npos) break; | ~~~^~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:363:43: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 363 | if((max_Nparts<0) || (parts.size()&, long int)’: phylogenetics_cpp_routines.cpp:460:28: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 460 | for(long n=start; n&)’: phylogenetics_cpp_routines.cpp:707:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 707 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:722:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 722 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:740:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 740 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:747:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 747 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:776:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 776 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:807:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 807 | for(long i=0; i&, double)’: phylogenetics_cpp_routines.cpp:812:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 812 | for(long i=0; i&, double)’: phylogenetics_cpp_routines.cpp:819:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 819 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:829:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 829 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:882:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 882 | for(long i=0; i >&, const std::vector >&)’: phylogenetics_cpp_routines.cpp:902:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘const long unsigned int’ [-Wsign-compare] 902 | for(long level=0; level, long int>::value_type’ {aka ‘long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 948 | if(pool2list[pool_index]==list2pool.size()-1){ phylogenetics_cpp_routines.cpp: In function ‘long int get_nearest_index(const std::vector&, long int)’: phylogenetics_cpp_routines.cpp:976:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 976 | for(long i=0; i<(haystack.size()-1); ++i){ | ~^~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List dense_binary_matrix_row2column_major_CPP(long int, long int, const Rcpp::List&, bool)’: phylogenetics_cpp_routines.cpp:997:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 997 | for(long i=0; i >&, const lvector&, const dvector&, double, long int)’: phylogenetics_cpp_routines.cpp:1599:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1599 | for(long i=0; i&, const std::vector&, long int, const std::vector&, const std::string&, long int)’: phylogenetics_cpp_routines.cpp:2820:30: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2820 | for(long t=0, g=-1; t&, double, const std::vector&, long int, const std::vector&)’: phylogenetics_cpp_routines.cpp:3260:29: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3260 | for(long t=0, g=0; t&, const std::vector&, long int, const std::vector&)’: phylogenetics_cpp_routines.cpp:3287:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3287 | for(long t=0, g=0, p; t >&, const std::vector >&, const std::vector >&, double)’: phylogenetics_cpp_routines.cpp:5835:40: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 5835 | for(long r=0; r&, const double&, const std::vector&, const long int&, std::vector&, std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:5915:19: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 5915 | for(k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 5947 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 8860 | for(long ng=0, og=0; ng::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 8897 | for(long ng=0, og=0; ng&, std::vector, bool, bool)’: phylogenetics_cpp_routines.cpp:9941:56: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 9941 | for(long k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 9967 | for(long k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 10929 | for(long t=0; t&, const std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:12662:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12662 | for(long q=0; q&, const std::vector&, const tree_traversal&, dvector&)’: phylogenetics_cpp_routines.cpp:12791:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12791 | for(long q=0, clade; q&, const std::vector&, const std::vector&, bool, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:12897:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12897 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12928 | for(long q=0; q&, const std::vector&, const std::vector&, bool, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:13016:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13016 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13047 | for(long q=1; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13075 | for(long q=0; q&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:13144:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13144 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13174 | for(long q=0; q&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:13266:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13266 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13286 | for(long q=0; q&, const std::vector&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:13397:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13397 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13417 | for(long q=0; q&, const std::vector&, long int, double, double, bool, long int, bool)’: phylogenetics_cpp_routines.cpp:13624:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13624 | for(long q=0, clade; q&, const std::vector&, const std::vector&, long int)’: phylogenetics_cpp_routines.cpp:13732:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13732 | for(long q=0, clade; q&, const std::vector&, double, double, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:13889:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13889 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13913 | for(long c=0; c::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13914 | for(long c=0; c&, const std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:14066:45: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14066 | for(long q=1, clade, pnode, cnode; q&, const std::vector&)’: phylogenetics_cpp_routines.cpp:14324:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14324 | for(long q=0, clade; q&, long int, long int, long int)’: phylogenetics_cpp_routines.cpp:14493:16: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14493 | while(k&, long int)’: phylogenetics_cpp_routines.cpp:14550:28: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14550 | while(queue_pointer::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14567 | for(long c=0, clade; c&, const std::vector&, long int)’: phylogenetics_cpp_routines.cpp:14615:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14615 | for(long q=0; q&, const std::vector&, const std::vector&, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:15174:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15174 | for(long c=0; c::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15191 | for(long q=0; q, bool, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:16015:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16015 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16038 | for(long q=1, cnode, pnode; q, bool, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:16145:29: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16145 | for(long t=0, tip; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16159 | for(long q=1; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16194 | for(long q=1; q&, const std::vector&, double)’: phylogenetics_cpp_routines.cpp:16461:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16461 | for(long q=0; q&, const std::vector&, double, double)’: phylogenetics_cpp_routines.cpp:16571:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16571 | for(long q=0; q&, const std::vector&, const std::vector&, bool, bool)’: phylogenetics_cpp_routines.cpp:16911:38: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16911 | for(long n=0, node; n::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16921 | for(long n=0, e, pnode, child; n::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16985 | for(long q=0, clade, node, absorbing_ancestor, parent, child, e, edge, inedge; q&, const std::vector&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:17082:48: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17082 | for(long s=0, clade, inedge, node, e; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17105 | for(long q=1, clade, node, inedge, e; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17139 | for(long q=1, clade, inedge; q&, const std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:17475:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17475 | for(long q=0, clade; q&, const std::vector >&, const std::vector >&, const std::string&, const std::string&, bool)’: phylogenetics_cpp_routines.cpp:17954:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17954 | for(long f=0; f >::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 17955 | if(clade_taxonomies_split[fits[f]].size()==max_precision) precise_fits.push_back(fits[f]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List tree_from_placements_CPP(long int, long int, long int, std::vector, std::vector, const std::vector&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:17991:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17991 | for(long i=0; i&, long int, long int, long int, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18189:38: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18189 | for(long m=0, Tnode, Rnode; m&, long int, long int, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18419:60: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18419 | for(long fb=0, fa=-1, f; fb relative_to_absolute_node_ages_CPP(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18475:44: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18475 | for(long q=1, clade, node, pnode; q propagate_min_ages_upstream_CPP(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18499:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18499 | for(long a=0; a propagate_max_ages_downstream_CPP(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18528:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18528 | for(long a=0; a::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18533 | for(long q=0, clade, node, pnode; q, const std::vector&)’: phylogenetics_cpp_routines.cpp:18595:39: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18595 | for(long q=1, clade, parent; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18612 | for(long q=0, clade, node; q&, const std::vector&, const std::vector&, double, bool, bool, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, double, bool, std::vector&, std::vector&, std::vector&, double&, double&, double&, double&, long int&, std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:19209:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 19209 | for(long q=0; q&, const std::vector&, const std::vector&, double, bool, bool, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, double, std::vector&, double&, double&, double&, double&, long int&, std::vector&, std::vector&, std::vector&, std::vector&, std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:19522:40: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 19522 | for(long q=0, dominant_state; q&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:20571:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20571 | for(long q=0, parent; q&, const std::vector&)’: phylogenetics_cpp_routines.cpp:20642:26: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20642 | for(long fc=0; fc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20648 | for(long fc=0; fc&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:20776:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20776 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20795 | for(long q=0; q&, const std::vector&)’: phylogenetics_cpp_routines.cpp:20931:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20931 | for(long t=0; t&, const std::vector&, const std::vector&, const std::vector&, double, bool, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:21161:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 21161 | for(long q=0; q&, const std::vector&, const std::vector&, const Rcpp::ComplexVector&, const Rcpp::ComplexVector&, const Rcpp::ComplexVector&, const std::vector&, const std::string&, const std::vector&, bool, bool, double, double, long int, bool)’: phylogenetics_cpp_routines.cpp:21523:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 21523 | for(long n=0; n::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 21564 | for(long q=0, new_root; q&, const std::vector&, const std::vector&, double, long int, Rcpp::LogicalVector, std::vector, bool)’: phylogenetics_cpp_routines.cpp:21968:37: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 21968 | for(long q=0, node, clade; q&, std::vector, std::vector)’: phylogenetics_cpp_routines.cpp:22024:37: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22024 | for(long q=0, node, clade; q&, const std::vector&, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:22198:42: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22198 | for(long q=0, new_root; q&, const std::vector&, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:22459:30: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 22459 | if(node_states.size()>Nnodes) node_states.resize(Nnodes); | ~~~~~~~~~~~~~~~~~~^~~~~~~ phylogenetics_cpp_routines.cpp:22460:39: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 22460 | if(node_standard_errors.size()>Nnodes) node_standard_errors.resize(Nnodes); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ phylogenetics_cpp_routines.cpp:22461:29: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 22461 | if(node_CI95s.size()>Nnodes) node_CI95s.resize(Nnodes); | ~~~~~~~~~~~~~~~~~^~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::NumericVector apply_BM_parsimony_to_missing_clades_CPP(long int, long int, long int, const std::vector&, Rcpp::LogicalVector, std::vector)’: phylogenetics_cpp_routines.cpp:22502:37: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22502 | for(long q=0, node, clade; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22537 | for(long i=0, tip; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22556 | for(long i=0, tip; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22576 | for(long i=0, tip; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22781 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22795 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22887 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22900 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22905 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22925 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22947 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22970 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22994 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23177 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23190 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23207 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23229 | for(long s=0; s&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, double, double, double, double, double, double, bool, std::vector >&, std::string&, double&, long int&, MuSSEmodelE&, MuSSEmodelD&, std::vector > >&, std::vector >&)’: phylogenetics_cpp_routines.cpp:23478:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23478 | for(long a=0; a&, const std::vector&, const std::vector&, std::vector, const std::vector&, double, double, double, double, long int, double, bool)’: phylogenetics_cpp_routines.cpp:24303:40: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 24303 | for(long i=0; i&, const std::vector&, const std::vector&, const std::vector&, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26559:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26559 | for(long q=0; q&, const std::vector&, double, double, double, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26639:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26639 | for(long q=0; q&, const std::vector&, double, double, double, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26721:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26721 | for(long q=0; q&, const std::vector&, const std::vector&, double, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26792:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26792 | for(long q=0; q&, const std::vector&, const std::vector&, const std::vector&, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26872:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26872 | for(long q=0; q&, const std::vector&, const std::vector&, double, bool, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26964:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26964 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27076 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27079 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 27085 | if(only_sampled_tips && (sampled_tips.size()::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27122 | for(long new_clade=0; new_clade::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27128 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27131 | for(long i=0; i&, const std::vector&, const std::vector&, bool, bool, long int, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:27217:75: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const long int’ [-Wsign-compare] 27217 | while(((max_tips<=0) || ((coalescent ? extant_tips.size() : Ntips)::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 27217 | while(((max_tips<=0) || ((coalescent ? extant_tips.size() : Ntips)&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, const std::vector&, const std::vector&, const std::vector&, bool, bool, double, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:27432:100: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 27432 | while(((max_tips<=0) || (Ntips::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 27432 | while(((max_tips<=0) || (Ntips::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 27432 | while(((max_tips<=0) || (Ntips::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27618 | for(long nc=0; nc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27625 | for(long nc=0; nc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27632 | for(long nc=0; nc&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, bool, bool, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:28941:34: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 28941 | for(long nc=0; nc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 28947 | for(long nc=0; nc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 28952 | for(long nc=0; nc&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, bool, long int, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:29620:38: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 29620 | for(long stip=0; stip&, double, EdgeLengthUnit, double, double, long int, std::vector&, long int&, std::vector&, std::vector&, std::vector&, std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:29864:44: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 29864 | if(clade2tail_length.size()<=next_clade) clade2tail_length.resize(next_clade+1); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:29866:42: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 29866 | if(clade2tail_time.size()<=next_clade) clade2tail_time.resize(next_clade+1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:29875:41: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 29875 | for(long orphan=0, clade; orphan&, std::vector&, long int&, std::vector&, std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:29928:40: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 29928 | if(clade_heights.size()<=next_clade) clade_heights.resize(next_clade+1); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘bool generate_gene_tree_in_species_tree_MSC(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::string&, long int, bool, bool, long int, long int&, long int&, long int&, long int&, std::vector&, std::vector&, std::vector&, std::vector&, std::vector&, std::string&)’: phylogenetics_cpp_routines.cpp:29978:64: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 29978 | const bool got_allele_counts = (allele_counts.size()==NStips); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ phylogenetics_cpp_routines.cpp:29979:67: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 29979 | const bool got_population_sizes = (population_sizes.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:29980:67: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 29980 | const bool got_generation_times = (generation_times.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:29981:65: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 29981 | const bool got_mutation_rates = (mutation_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30007:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30007 | for(long q=0, clade; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30024 | for(allele=0; allele::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30109 | for(long orphan=0; orphan&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::string&, long int, bool, bool, long int, bool, bool, double, double, bool)’: phylogenetics_cpp_routines.cpp:30263:83: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30263 | const bool got_population_sizes = (population_sizes.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30264:83: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30264 | const bool got_generation_times = (generation_times.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30265:81: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30265 | const bool got_mutation_rates = (mutation_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30266:80: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30266 | const bool got_allele_counts = (allele_counts.size()==NStips); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ phylogenetics_cpp_routines.cpp:30267:84: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30267 | const bool got_HGT_rates = (HGT_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30268:84: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30268 | const bool got_duplication_rates = (duplication_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30269:85: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30269 | const bool got_loss_rates = (loss_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30290:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30290 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30297 | for(long q=0, clade; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30400 | for(long l=0, locus, new_locus; l::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30426 | for(long l=0, locus; l&, const std::vector&, double, double, double, double, dvector&, dvector&)’: phylogenetics_cpp_routines.cpp:31245:48: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31245 | for(long q=0, parent, child, e, edge; q&, double, double, double, double)’: phylogenetics_cpp_routines.cpp:31361:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31361 | for(long t=1; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31834 | for(long p=0; p&, const std::vector&, const std::vector&, double, long int)’: phylogenetics_cpp_routines.cpp:31876:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31876 | for(long d=0; d&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, long int, const std::vector&, double, long int)’: phylogenetics_cpp_routines.cpp:31914:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31914 | for(long d=0; d&)’: phylogenetics_cpp_routines.cpp:32076:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 32076 | for(long p=0; p >::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 32557 | if(parts.size()<=distances_column){ | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:32585:56: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 32585 | if((max_Nedges>=0) && (distances.size()>=max_Nedges)) break; | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In instantiation of ‘void multiply_array_with_scalar(ARRAY_TYPE&, double) [with ARRAY_TYPE = std::vector]’: phylogenetics_cpp_routines.cpp:5326:29: required from here 5326 | multiply_array_with_scalar(A,factor); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:580:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 580 | for(long i=0; i]’: phylogenetics_cpp_routines.cpp:5521:34: required from here 5521 | epsilon /= get_norm_L2_of_vector(balances) * get_norm_L2_of_inverted_vector(balances); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:4927:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4927 | for(long i=0; i]’: phylogenetics_cpp_routines.cpp:5521:77: required from here 5521 | epsilon /= get_norm_L2_of_vector(balances) * get_norm_L2_of_inverted_vector(balances); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:4935:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4935 | for(long i=0; i&) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:8734:48: required from here 8734 | const long NR = (end_c-start_c+1) + vector_sum(dN); | ~~~~~~~~~~^~~~ phylogenetics_cpp_routines.cpp:692:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 692 | for(long i=0; i maxError) && (impCount&, const std::vector&, long int, long int, double, bool, bool, REAL_TYPE&, REAL_TYPE&, REAL_TYPE&, long int&) [with REAL_TYPE = double]’: phylogenetics_cpp_routines.cpp:9326:40: required from here 9326 | if(fitLeastSquares_affine_real_scalar(X, logY, start, end, Xshift[n], false, false, A[n], rate[n], RSS, count[n])){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:9188:21: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 9188 | if((x.size()<=end) || (y.size()<=end)) return false; | ~~~~~~~~~^~~~~~ phylogenetics_cpp_routines.cpp:9188:40: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 9188 | if((x.size()<=end) || (y.size()<=end)) return false; | ~~~~~~~~~^~~~~~ phylogenetics_cpp_routines.cpp: In instantiation of ‘std::vector& operator*=(std::vector&, double) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:9760:24: required from here 9760 | Acoeff *= (Ngrid-1.0)/Aend; | ^~~~ phylogenetics_cpp_routines.cpp:3450:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3450 | for(long i=0; i&, std::vector&, std::vector&, std::vector&, bool, const std::string&) [with ARRAY_TYPE = std::vector; std::string = std::__cxx11::basic_string]’: phylogenetics_cpp_routines.cpp:12143:33: required from here 12143 | get_tree_traversal_root_to_tips(Ntips, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ 12144 | Nnodes, | ~~~~~~~ 12145 | Nedges, | ~~~~~~~ 12146 | -1, | ~~~ 12147 | tree_edge, | ~~~~~~~~~~ 12148 | include_tips, | ~~~~~~~~~~~~~ 12149 | false, | ~~~~~~ 12150 | queue, | ~~~~~~ 12151 | node2first_edge, | ~~~~~~~~~~~~~~~~ 12152 | node2last_edge, | ~~~~~~~~~~~~~~~ 12153 | edges, | ~~~~~~ 12154 | false, | ~~~~~~ 12155 | ""); | ~~~ phylogenetics_cpp_routines.cpp:12116:28: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12116 | while(queue_pointer&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:12801:36: required from here 12801 | const double root_age = vector_max(ages); | ~~~~~~~~~~^~~~~~ phylogenetics_cpp_routines.cpp:770:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 770 | for(long i=0; i&, std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:13898:14: required from here 13898 | qsortIndices(distances_from_root, chronological_clade_order); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:1071:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1071 | for(long n=0; n&) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:14197:33: required from here 14197 | const long Nsplits = vector_max(node2child_count); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:770:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 770 | for(long i=0; i&) [with ARRAY_TYPE = std::vector]’: phylogenetics_cpp_routines.cpp:14866:30: required from here 14866 | sort_tree_edges_root_to_tips( Ntips, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 14867 | Nnodes, | ~~~~~~~ 14868 | Nedges, | ~~~~~~~ 14869 | depth_first_search, | ~~~~~~~~~~~~~~~~~~~ 14870 | root_to_tips, | ~~~~~~~~~~~~~ 14871 | tree_edge, | ~~~~~~~~~~ 14872 | new2old_edge); | ~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:14838:36: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14838 | while(queue_pointer&, std::vector&, std::vector&, long int&, double&) [with ARRAY_INT = std::vector; ARRAY_DOUBLE = std::vector; lvector = std::vector]’: phylogenetics_cpp_routines.cpp:15102:40: required from here 15102 | get_tree_with_collapsed_monofurcations( Ntips, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ 15103 | Nnodes, | ~~~~~~~ 15104 | Nedges, | ~~~~~~~ 15105 | root, | ~~~~~ 15106 | force_keep_root, | ~~~~~~~~~~~~~~~~ 15107 | force_keep_nodes, | ~~~~~~~~~~~~~~~~~ 15108 | tree_edge, | ~~~~~~~~~~ 15109 | edge_length, | ~~~~~~~~~~~~ 15110 | new_tree_edge, | ~~~~~~~~~~~~~~ 15111 | new_edge_length, | ~~~~~~~~~~~~~~~~ 15112 | new2old_node, | ~~~~~~~~~~~~~ 15113 | new_root, | ~~~~~~~~~ 15114 | root_shift); | ~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:14998:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14998 | for(long fn=0, node; fn::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15012 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15035 | for(long q=0; q&, std::vector&, std::vector&, long int&, long int&, long int&, long int&, long int&, double&) [with ARRAY_INT = std::vector; ARRAY_DOUBLE = std::vector; lvector = std::vector]’: phylogenetics_cpp_routines.cpp:15714:32: required from here 15714 | get_subtree_with_specific_tips( Ntips, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ 15715 | Nnodes, | ~~~~~~~ 15716 | Nedges, | ~~~~~~~ 15717 | tree_edge, | ~~~~~~~~~~ 15718 | edge_length, | ~~~~~~~~~~~~ 15719 | tips_to_keep, | ~~~~~~~~~~~~~ 15720 | collapse_monofurcations, | ~~~~~~~~~~~~~~~~~~~~~~~~ 15721 | force_keep_root, | ~~~~~~~~~~~~~~~~ 15722 | lvector(), | ~~~~~~~~~~ 15723 | new_tree_edge, | ~~~~~~~~~~~~~~ 15724 | new_edge_length, | ~~~~~~~~~~~~~~~~ 15725 | new2old_clade, | ~~~~~~~~~~~~~~ 15726 | new_root, | ~~~~~~~~~ 15727 | old_stem_edge, | ~~~~~~~~~~~~~~ 15728 | Ntips_kept, | ~~~~~~~~~~~ 15729 | Nnodes_kept, | ~~~~~~~~~~~~ 15730 | Nedges_kept, | ~~~~~~~~~~~~ 15731 | root_shift); | ~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:15572:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15572 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15575 | for(long fn=0; fn::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15648 | for(long fn=0, new_clade; fn; ARRAY_TYPE_D = std::vector; dvector = std::vector]’: phylogenetics_cpp_routines.cpp:16941:26: required from here 16941 | get_distances_from_root(Ntips, Nnodes, Nedges, tree_edge, edge_length, traversal, clade_times); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:12742:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12742 | for(long q=0, clade; q&, TYPE2, long int) [with TYPE1 = long int; TYPE2 = long int]’: phylogenetics_cpp_routines.cpp:18421:33: required from here 18421 | fa = find_in_ascending_list(membershipsA[nodeA],f,fa+1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:486:28: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 486 | for(long n=start; n operator/(std::vector, double) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:22770:19: required from here 22770 | shape = initial/initial_mean; | ^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:3532:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3532 | for(long i=0; i operator*(std::vector, double) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:22833:27: required from here 22833 | rateY = YA - currentY*rateS; | ^~~~~ phylogenetics_cpp_routines.cpp:3432:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3432 | for(long i=0; i operator-(std::vector, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:22833:27: required from here 22833 | rateY = YA - currentY*rateS; | ^~~~~ phylogenetics_cpp_routines.cpp:3486:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3486 | for(long i=0; i operator+(std::vector, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:22942:66: required from here 22942 | candidate_state = previous_state*(1-lambda) + candidate_state*lambda; | ^~~~~~ phylogenetics_cpp_routines.cpp:3459:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3459 | for(long i=0; i&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23006:22: required from here 23006 | return contains_nan(state); | ~~~~~~~~~~~~^~~~~~~ phylogenetics_cpp_routines.cpp:865:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 865 | for(long i=0; i& operator*=(std::vector&, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23366:32: required from here 23366 | posteriors[node] *= modelD.initial; | ^~~~~~~ phylogenetics_cpp_routines.cpp:3423:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3423 | for(long i=0; i&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23387:30: required from here 23387 | const double S = vector_sum(posteriors[node]); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:692:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 692 | for(long i=0; i& operator/=(std::vector&, double) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23388:23: required from here 23388 | posteriors[node] /= S; | ^ phylogenetics_cpp_routines.cpp:3541:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3541 | for(long i=0; i operator*(std::vector, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23396:56: required from here 23396 | loglikelihood += log(vector_sum(posteriors[root_node]*root_prior)); | ^~~~~~~~~~ phylogenetics_cpp_routines.cpp:3414:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3414 | for(long i=0; i&, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23906:38: required from here 23906 | loglikelihood += log(scalar_product(substem_D,substem_prior)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:715:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘const long unsigned int’ [-Wsign-compare] 715 | for(long i=0; i& operator-=(std::vector&, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:24305:83: required from here 24305 | dvector coarse_diversification_rates = lambdas; coarse_diversification_rates -= mus; | ^~~ phylogenetics_cpp_routines.cpp:3504:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3504 | for(long i=0; i abs(std::vector) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:24925:48: required from here 24925 | dvector coarse_abs_diversification_rates = abs(coarse_diversification_rates); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:3550:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3550 | for(long i=0; i::getMaxAbs() const [with VALUE_TYPE = double]’: phylogenetics_cpp_routines.cpp:25417:26: required from here 25417 | return lambda.getMaxAbs() + mu.getMaxAbs() + psi.getMaxAbs(); | ~~~~~~~~~~~~~~~~^~ phylogenetics_cpp_routines.cpp:2646:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2646 | for(long i=0; i::getMaxAbs(double, double) const [with VALUE_TYPE = double]’: phylogenetics_cpp_routines.cpp:25422:26: required from here 25422 | return lambda.getMaxAbs(start_time,end_time) + mu.getMaxAbs(start_time,end_time) + psi.getMaxAbs(start_time,end_time); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:2657:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2657 | for(long i=0; i& operator+=(std::vector&, const TYPE&) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:25845:20: required from here 25845 | NCSAcrossings += 1l; | ^~ phylogenetics_cpp_routines.cpp:3477:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3477 | for(long i=0; i operator-(std::vector, const TYPE&) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:27088:52: required from here 27088 | lvector force_keep_nodes = sampled_node_clades - Ntips; | ^~~~~ phylogenetics_cpp_routines.cpp:3495:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3495 | for(long i=0; i&, long int) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:27554:27: required from here 27554 | remove_item_from_vector(extant_tips, tip); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:918:17: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 918 | if(index==list.size()-1){ | ~~~~~^~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In instantiation of ‘void simulate_SBM_on_tree(long int, long int, long int, const std::vector&, const std::vector&, double, const DFUNCTOR&, double, double, dvector&, dvector&) [with DFUNCTOR = PiecewisePolynomial; dvector = std::vector]’: phylogenetics_cpp_routines.cpp:31394:22: required from here 31394 | simulate_SBM_on_tree( Ntips, | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 31395 | Nnodes, | ~~~~~~~ 31396 | Nedges, | ~~~~~~~ 31397 | tree_edge, | ~~~~~~~~~~ 31398 | edge_length, | ~~~~~~~~~~~~ 31399 | radius, | ~~~~~~~ 31400 | diffusivity_integral, | ~~~~~~~~~~~~~~~~~~~~~ 31401 | root_theta, | ~~~~~~~~~~~ 31402 | root_phi, | ~~~~~~~~~ 31403 | clade_theta, | ~~~~~~~~~~~~ 31404 | clade_phi); | ~~~~~~~~~~ phylogenetics_cpp_routines.cpp:31296:48: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31296 | for(long q=0, parent, child, e, edge; q&, TYPE2) [with TYPE1 = double; TYPE2 = double]’: phylogenetics_cpp_routines.cpp:5400:27: required from ‘long int min_polynomials_for_positive_exponential_of_irreducible_matrix(long int, const ARRAY_TYPE&) [with ARRAY_TYPE = std::vector]’ 5400 | if(find_first_occurrence(sum_of_powers, 0.0)<0) return (p+1); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:21465:94: required from here 21465 | const long min_polynomials = min_polynomials_for_positive_exponential_of_irreducible_matrix(Nstates, transition_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:468:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 468 | for(long n=0; n operator*(double, std::vector) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:10194:64: required from ‘LinearInterpolationFunctor::LinearInterpolationFunctor(const std::vector&, const std::vector&, bool, const VALUE_TYPE&, const VALUE_TYPE&, bool, double) [with VALUE_TYPE = std::vector]’ 10194 | referenceValues[0] = referenceValues[referenceCount-1] = 0.5*(referenceValues[0] + referenceValues[referenceCount-1]); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:23339:141: required from here 23339 | modelD.E = LinearInterpolationFunctor(modelE.ages,modelE.trajectory,false,modelE.trajectory[0],modelE.trajectory.back(),true,0); | ^ phylogenetics_cpp_routines.cpp:3441:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3441 | for(long i=0; i&, double, const std::vector&, std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:7458:21: required from ‘bool RungeKutta2(double, double, double, MODEL&, double, double, double, double, long int, double, const PROGRESS_REPORTER&, double, std::string&) [with COORDINATE = std::vector; MODEL = MuSSEmodelE; PROGRESS_REPORTER = ProgressReporter; std::string = std::__cxx11::basic_string]’ 7458 | linear_combination(1.0,currentPoint,current_dt1,k1,point2); // point2 = currentPoint + k1*current_dt1; | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:23441:9: required from here 23440 | bool success = RungeKutta2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23441 | (0, // start_time | ^~~~~~~~~~~~~~~~~ 23442 | oldest_age, // end_time | ~~~~~~~~~~~~~~~~~~~~~~~ 23443 | max(0.000001*oldest_age,min(0.2*oldest_age,relative_ODE_step/maxErate)), // default integration time step | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23444 | modelE, | ~~~~~~~ 23445 | minRecordingTimeStep, | ~~~~~~~~~~~~~~~~~~~~~ 23446 | maxRecordingTimeStep, | ~~~~~~~~~~~~~~~~~~~~~ 23447 | guessNrecordings, | ~~~~~~~~~~~~~~~~~ 23448 | E_value_step, // recordingRelValueStep | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23449 | 5, // maxTimeStepRefinements | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23450 | 4, // refinement_factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23451 | ProgressReporter(true), | ~~~~~~~~~~~~~~~~~~~~~~~ 23452 | (runtime_out_seconds>0 ? max(runtime_out_seconds*0.01, runtime_out_seconds+start_runtime-get_thread_monotonic_walltime_seconds()) : 0.0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23453 | warningMessage); | ~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:431:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for(long i=0; i&, const std::vector&)’: phylogenetics_cpp_routines.cpp:1322:25: warning: ‘t1’ may be used uninitialized [-Wmaybe-uninitialized] 1322 | W += (t2-t1) * abs(CDFY-CDFX); | ~~~^~~~ phylogenetics_cpp_routines.cpp:1306:32: note: ‘t1’ was declared here 1306 | double CDFX=0, CDFY=0, t1, t2; | ^~ phylogenetics_cpp_routines.cpp: In function ‘double solve_polynomial_via_bisection(const double*, long int, double, double, double, double, double, double, long int)’: phylogenetics_cpp_routines.cpp:2260:16: warning: ‘c’ may be used uninitialized [-Wmaybe-uninitialized] 2260 | return c; // did not converge, but the last c is the best estimate | ^ phylogenetics_cpp_routines.cpp:2206:36: note: ‘c’ was declared here 2206 | double a = Xmin, b = Xmax, c; | ^ phylogenetics_cpp_routines.cpp: In function ‘double legendre_polynomial(long int, double)’: phylogenetics_cpp_routines.cpp:30948:16: warning: ‘Pn’ may be used uninitialized [-Wmaybe-uninitialized] 30948 | return Pn; | ^~ phylogenetics_cpp_routines.cpp:30942:16: note: ‘Pn’ was declared here 30942 | double Pn; | ^~ phylogenetics_cpp_routines.cpp: In function ‘double solve_piecewise_polynomial_bisection(const dvector&, const dvector&, long int, bool, double, double, double, bool, double, double, long int, long int&, long int&)’: phylogenetics_cpp_routines.cpp:2343:16: warning: ‘c’ may be used uninitialized [-Wmaybe-uninitialized] 2343 | return c; // did not converge, but the last c is the best estimate | ^ phylogenetics_cpp_routines.cpp:2281:36: note: ‘c’ was declared here 2281 | double a = Xmin, b = Xmax, c; | ^ phylogenetics_cpp_routines.cpp: In function ‘double solve_piecewise_polynomial_sum_bisection(const dvector&, const std::vector >&, const lvector&, bool, const dvector&, double, double, double, bool, double, double, long int, long int&, long int&)’: phylogenetics_cpp_routines.cpp:2440:16: warning: ‘c’ may be used uninitialized [-Wmaybe-uninitialized] 2440 | return c; // did not converge, but the last c is the best estimate | ^ phylogenetics_cpp_routines.cpp:2373:36: note: ‘c’ was declared here 2373 | double a = Xmin, b = Xmax, c; | ^ phylogenetics_cpp_routines.cpp: In function ‘bool get_dominant_eigenvalue(long int, const dvector&, long int, double, dvector&, double&)’: phylogenetics_cpp_routines.cpp:6031:37: warning: ‘error’ may be used uninitialized [-Wmaybe-uninitialized] 6031 | return (best_error&, double, const std::vector&, const std::vector&, long int, const std::string&, double, double)’: phylogenetics_cpp_routines.cpp:25359:51: warning: ‘W_degree’ may be used uninitialized [-Wmaybe-uninitialized] 25359 | const double origin_W = polynomial_value(W_degree,&refined_W_coeff[origin_rg*(W_degree+1)],oldest_age-age_offset); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:25287:24: note: ‘W_degree’ was declared here 25287 | long I_degree, W_degree, NRG; | ^~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List HBD_PDR_loglikelihood_CPP(const std::vector&, double, double, const std::vector&, const std::vector&, long int, const std::string&, double, double, std::vector, long int)’: phylogenetics_cpp_routines.cpp:25186:102: warning: ‘Zdegree’ may be used uninitialized [-Wmaybe-uninitialized] 25186 | branching_Z = polynomial_value(Zdegree, &Zcoeff[d][current_g*(Zdegree+1)], branching_age-age_offset); | ~~~~~~~~^~~ phylogenetics_cpp_routines.cpp:25152:14: note: ‘Zdegree’ was declared here 25152 | long Zdegree, EZdegree, Wdegree; | ^~~~~~~ phylogenetics_cpp_routines.cpp:25187:102: warning: ‘Wdegree’ may be used uninitialized [-Wmaybe-uninitialized] 25187 | branching_W = polynomial_value(Wdegree, &Wcoeff[d][current_g*(Wdegree+1)], branching_age-age_offset); | ~~~~~~~~^~~ phylogenetics_cpp_routines.cpp:25152:33: note: ‘Wdegree’ was declared here 25152 | long Zdegree, EZdegree, Wdegree; | ^~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘bool LUDecomposition(TYPE*, long unsigned int, long unsigned int*, int&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:4658:17: warning: ‘imax’ may be used uninitialized [-Wmaybe-uninitialized] 4658 | if(j != imax){ | ^~ phylogenetics_cpp_routines.cpp:4626:16: note: ‘imax’ was declared here 4626 | long i,imax,j,k; | ^~~~ phylogenetics_cpp_routines.cpp: In member function ‘void TreeSpeciationExtinctionModel::get_coalescent_trajectory(double, double, std::vector&) const’: phylogenetics_cpp_routines.cpp:10918:96: warning: ‘coalescent_diversity_at_resolution_age’ may be used uninitialized [-Wmaybe-uninitialized] 10918 | coalescent[t].Pmissing = coalescent_diversity_at_resolution_age/coalescent[t].diversity; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:10895:59: note: ‘coalescent_diversity_at_resolution_age’ was declared here 10895 | double total_diversity_at_resolution_age, coalescent_diversity_at_resolution_age; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List simulate_fixed_rates_Markov_model_CPP(long int, long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26558:27: warning: ‘parent’ may be used uninitialized [-Wmaybe-uninitialized] 26558 | long clade, edge, parent, parent_state, state=0; | ^~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List get_trait_richness_collectors_curve_CPP(long int, long int, long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, const std::string&, bool)’: phylogenetics_cpp_routines.cpp:20142:49: warning: ‘tip’ may be used uninitialized [-Wmaybe-uninitialized] 20142 | tip_included[tip] = true; | ^ phylogenetics_cpp_routines.cpp:20005:14: note: ‘tip’ was declared here 20005 | long tip, clade, count_tips_remaining; | ^~~ In function ‘long int uniformIntWithin(long int, long int)’, inlined from ‘Rcpp::List get_trait_richness_collectors_curve_CPP(long int, long int, long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, const std::string&, bool)’ at phylogenetics_cpp_routines.cpp:20102:41: phylogenetics_cpp_routines.cpp:3574:72: warning: ‘count_tips_remaining’ may be used uninitialized [-Wmaybe-uninitialized] 3574 | return min(maximum, (long) floor(minimum + (maximum-minimum+1) * R::runif(0.0,1.0))); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List get_trait_richness_collectors_curve_CPP(long int, long int, long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, const std::string&, bool)’: phylogenetics_cpp_routines.cpp:20005:26: note: ‘count_tips_remaining’ was declared here 20005 | long tip, clade, count_tips_remaining; | ^~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List get_HBDS_model_loglikelihood_CPP(const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, double, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, const std::string&, double, double, double)’: phylogenetics_cpp_routines.cpp:25908:110: warning: ‘logPhi_degree’ may be used uninitialized [-Wmaybe-uninitialized] 25908 | CSA_logPhi = polynomial_value(logPhi_degree, &logPhi_coeff[k][sg*(logPhi_degree+1)], age-(splines_slideX ? Phi_ages[k][sg] : 0.0)); | ~~~~~~~~~~~~~~^~~ phylogenetics_cpp_routines.cpp:25794:42: note: ‘logPhi_degree’ was declared here 25794 | long dummyL1, dummyL2, I_degree, logPhi_degree, E_degree; | ^~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List find_edge_splitting_tree_CPP(long int, long int, long int, std::vector, bool, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:16205:108: warning: ‘best_Ntargets_upstream’ may be used uninitialized [-Wmaybe-uninitialized] 16205 | else if((!descends_from_best_edge[tip]) && (Ntargets_downstream_per_clade[tip]==1) && (!targets_should_be_upstream)) misplaced_targets.push_back(tip); // misplaced upstream target | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:16167:30: note: ‘best_Ntargets_upstream’ was declared here 16167 | long best_edge = -1, best_Ntargets_upstream, best_Ntargets_downstream, best_Nmisplaced_targets, best_Nmisplaced_nontargets; | ^~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List simulate_deterministic_diversity_growth_CPP(double, double, double, double, double, double, double, double, long int, const std::vector&, const std::vector&, const std::vector&, bool, const std::vector&, double, double, double, double, bool, bool, bool, bool, bool, bool, double)’: phylogenetics_cpp_routines.cpp:11139:86: warning: ‘Pmissing_at_resolution_age’ may be used uninitialized [-Wmaybe-uninitialized] 11139 | const double effective_rarefaction = rarefaction * (1-Pmissing_at_resolution_age); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:11114:24: note: ‘Pmissing_at_resolution_age’ was declared here 11114 | double Pmissing_at_resolution_age, total_diversity_at_resolution_age, coalescent_diversity_at_resolution_age; | ^~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:11147:88: warning: ‘coalescent_diversity_at_resolution_age’ may be used uninitialized [-Wmaybe-uninitialized] 11147 | Pmissing = 1.0 - coalescent_diversity_at_resolution_age/total_diversities[t]; // effective Pmissing, based on coalescent and total diversity after collapsing and rarefaction phylogenetics_cpp_routines.cpp:11114:87: note: ‘coalescent_diversity_at_resolution_age’ was declared here 11114 | double Pmissing_at_resolution_age, total_diversity_at_resolution_age, coalescent_diversity_at_resolution_age; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:189, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp.h:27, from phylogenetics_cpp_routines.cpp:39: In function ‘SEXPREC* Rcpp::internal::primitive_wrap__impl__cast(const T&, Rcpp::traits::false_type) [with T = double]’, inlined from ‘SEXPREC* Rcpp::internal::primitive_wrap__impl(const T&, Rcpp::traits::r_type_primitive_tag) [with T = double]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:465:46, inlined from ‘SEXPREC* Rcpp::internal::primitive_wrap(const T&) [with T = double]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:489:40, inlined from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_primitive_tag) [with T = double]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:744:34, inlined from ‘SEXPREC* Rcpp::wrap(const T&) [with T = double]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38, inlined from ‘static SEXPREC* Rcpp::internal::generic_element_converter::get(const T&) [with T = double; int RTYPE = 19]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/converter.h:80:23, inlined from ‘static void Rcpp::Vector::replace_element__dispatch__isArgument(Rcpp::traits::false_type, iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:532:13, inlined from ‘static void Rcpp::Vector::replace_element__dispatch(Rcpp::traits::true_type, iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:525:46, inlined from ‘static void Rcpp::Vector::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:514:34, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1168:32, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static Rcpp::Vector Rcpp::Vector::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1148:37, inlined from ‘static Rcpp::Vector Rcpp::Vector::create(const T& ...) [with T = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1131:33, inlined from ‘Rcpp::List read_Newick_string_CPP(std::string, bool, bool, bool, bool)’ at phylogenetics_cpp_routines.cpp:19126:39: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:442:41: warning: ‘root_edge’ may be used uninitialized [-Wmaybe-uninitialized] 442 | r_vector_start(x)[0] = object; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List read_Newick_string_CPP(std::string, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:19042:29: note: ‘root_edge’ was declared here 19042 | double edge_length, root_edge; | ^~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::NumericMatrix get_distance_matrix_between_clades_CPP(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:13326:155: warning: ‘mrca’ may be used uninitialized [-Wmaybe-uninitialized] 13326 | distances(i,j) = distance_from_root_per_clade[cladeA] + distance_from_root_per_clade[cladeB] - 2*distance_from_root_per_clade[mrca]; | ^ phylogenetics_cpp_routines.cpp:13299:30: note: ‘mrca’ was declared here 13299 | long cladeA, cladeB, mrca; | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c registerDynamicSymbol.c -o registerDynamicSymbol.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o castor.so RcppExports.o STMathExpression.o phylogenetics_cpp_routines.o registerDynamicSymbol.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpBHzFCN/R.INSTALL2d2d736282072d/castor/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-castor/00new/castor/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (castor) * installing *source* package ‘smacofx’ ... ** package ‘smacofx’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (smacofx) * installing *source* package ‘ANCOMBC’ ... ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ANCOMBC) * installing *source* package ‘dada2’ ... ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpk7kMHt/R.INSTALL2d422230654826/dada2/src' g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from ../inst/include/dada2.h:7, from RcppExports.cpp:4: ../inst/include/dada2_RcppExports.h:14:14: warning: ‘void dada2::{anonymous}::validateSignature(const char*)’ defined but not used [-Wunused-function] 14 | void validateSignature(const char* sig) { | ^~~~~~~~~~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Rmain.cpp -o Rmain.o Rmain.cpp: In function ‘Rcpp::List dada_uniques(std::vector >, std::vector, std::vector, Rcpp::NumericMatrix, Rcpp::NumericMatrix, int, int, int, bool, double, int, double, double, double, bool, int, double, int, int, bool, bool, bool, int, bool, bool, int, bool, bool)’: Rmain.cpp:71:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 71 | if(quals.nrow() != maxlen) { | ~~~~~~~~~~~~~^~~~~~~~~ Rmain.cpp: In function ‘B* run_dada(Raw**, int, Rcpp::NumericMatrix, int, int, int, int, bool, double, int, double, double, bool, int, double, int, int, bool, bool, bool, bool, bool, int, bool, bool)’: Rmain.cpp:316:22: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 316 | while( (bb->nclust < max_clust) && (newi = b_bud(bb, min_fold, min_hamming, min_abund, verbose)) ) { | ~~~~~~~~~~~^~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb.h:32, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel/TBB.h:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel.h:24, from dada.h:9, from Rmain.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ Rmain.cpp: In function ‘Rcpp::List dada_uniques(std::vector >, std::vector, std::vector, Rcpp::NumericMatrix, Rcpp::NumericMatrix, int, int, int, bool, double, int, double, double, double, bool, int, double, int, int, bool, bool, bool, int, bool, bool, int, bool, bool)’: Rmain.cpp:288:9: warning: ‘k8’ may be used uninitialized [-Wmaybe-uninitialized] 288 | free(k8); | ~~~~^~~~ Rmain.cpp:122:12: note: ‘k8’ was declared here 122 | uint8_t *k8; | ^~ Rmain.cpp:289:9: warning: ‘k16’ may be used uninitialized [-Wmaybe-uninitialized] 289 | free(k16); | ~~~~^~~~~ Rmain.cpp:123:13: note: ‘k16’ was declared here 123 | uint16_t *k16; | ^~~ Rmain.cpp:290:9: warning: ‘kord’ may be used uninitialized [-Wmaybe-uninitialized] 290 | free(kord); | ~~~~^~~~~~ Rmain.cpp:124:13: note: ‘kord’ was declared here 124 | uint16_t *kord; | ^~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c chimera.cpp -o chimera.o chimera.cpp: In function ‘bool C_is_bimera(std::string, std::vector >, bool, int, int, int, int, int)’: chimera.cpp:25:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for(i=0;i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 29 | if((left+right) >= sq.size()) { // Toss id/pure-shift/internal-indel "parents" | ~~~~~~~~~~~~~^~~~~~~~~~~~ chimera.cpp:44:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 44 | if((max_right+max_left)>=sq.size()) { | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ chimera.cpp:48:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 48 | if((oo_max_left+oo_max_right_oo)>=sq.size() || (oo_max_left_oo+oo_max_right)>=sq.size()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ chimera.cpp:48:83: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 48 | if((oo_max_left+oo_max_right_oo)>=sq.size() || (oo_max_left_oo+oo_max_right)>=sq.size()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ chimera.cpp: In function ‘void get_lr(char**, int&, int&, int&, int&, bool, int)’: chimera.cpp:231:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 231 | while(al[0][pos] == '-' && pos+(len-max_shift)) { | ~~~^~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb.h:32, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel/TBB.h:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel.h:24, from dada.h:9, from chimera.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cluster.cpp -o cluster.o cluster.cpp: In function ‘void b_compare(B*, unsigned int, Rcpp::NumericMatrix, int, int, int, int, bool, double, int, bool, int, bool, bool, bool)’: cluster.cpp:17:23: warning: variable ‘cind’ set but not used [-Wunused-but-set-variable] 17 | unsigned int index, cind, center_reads; | ^~~~ cluster.cpp: In function ‘void b_compare_parallel(B*, unsigned int, Rcpp::NumericMatrix, int, int, int, int, bool, double, int, bool, int, bool, bool, bool)’: cluster.cpp:166:16: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 166 | for(row=0;rownclust;i++) { | ~^~~~~~~~~~ cluster.cpp:285:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 285 | for(r=1; rbi[i]->nraw; r++) { // r=0 is the center | ~^~~~~~~~~~~~~~~ cluster.cpp:288:21: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 288 | if(raw->reads < min_abund) { continue; } | ~~~~~~~~~~~^~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb.h:32, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel/TBB.h:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel.h:24, from cluster.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c containers.cpp -o containers.o containers.cpp: In function ‘void b_free(B*)’: containers.cpp:141:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 141 | for(int i=0;inclust;i++) { bi_free(b->bi[i]); } | ~^~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb.h:32, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel/TBB.h:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel.h:24, from containers.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c error.cpp -o error.o error.cpp: In function ‘Rcpp::DataFrame b_make_positional_substitution_df(B*, Sub**, unsigned int, Rcpp::NumericMatrix, bool)’: error.cpp:178:51: warning: variable ‘ncol’ set but not used [-Wunused-but-set-variable] 178 | unsigned int i, pos, pos1, qind, j, r, s, nti0, ncol; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb.h:32, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel/TBB.h:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel.h:24, from dada.h:9, from error.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c evaluate.cpp -o evaluate.o evaluate.cpp: In function ‘Rcpp::IntegerVector C_eval_pair(std::string, std::string)’: evaluate.cpp:88:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 88 | } while((s1gap || s2gap) && start::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 133 | for(i=0;i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 152 | for(i=0;i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for(i=0;i >, std::vector >, int)’: evaluate.cpp:219:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 219 | for(int i=0;i >, std::vector >, int, int)’: evaluate.cpp:243:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 243 | for(int i=0;i >, std::vector >, int)’: evaluate.cpp:286:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 286 | for(int i=0;i >, std::vector >, int)’: evaluate.cpp:339:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 339 | for(i=0;i& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c filter.cpp -o filter.o filter.cpp: In function ‘Rcpp::IntegerVector C_matchRef(std::vector >, std::string, unsigned int, bool)’: filter.cpp:16:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 16 | for(i=0;i >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for(i=0;i& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c kmers.cpp -o kmers.o kmers.cpp: In function ‘double kmer_dist_SSEi_8(uint8_t*, int, uint8_t*, int, int)’: kmers.cpp:85:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 85 | for(i=0;i= len || k < 3 || k > 8) { Rcpp::stop("Invalid kmer-size."); } | ~~^~~~~~ kmers.cpp:174:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for(i=0; i= len || k < 3 || k > 8) { Rcpp::stop("Invalid kmer-size."); } | ~~^~~~~~ kmers.cpp:221:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 221 | for(i=0; i= len || k < 1 || k > 8) { Rcpp::stop("Invalid kmer-size."); } | ~~^~~~~~ kmers.cpp:255:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 255 | for(i=0;i& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c misc.cpp -o misc.o misc.cpp: In function ‘void align_print(char**)’: misc.cpp:24:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 24 | for(int i=0;i& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwalign_endsfree.cpp -o nwalign_endsfree.o nwalign_endsfree.cpp: In function ‘char** nwalign_endsfree(const char*, size_t, const char*, size_t, int (*)[4], int, int)’: nwalign_endsfree.cpp:89:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 89 | for (i = 0; i <= len1; i++) { | ~~^~~~~~~ nwalign_endsfree.cpp:95:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 95 | for (j = 0; j <= len2; j++) { | ~~^~~~~~~ nwalign_endsfree.cpp:114:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 114 | if(band>=0 && (band=0 && (bandlen2) { r = len2; } | ~^~~~~ nwalign_endsfree.cpp:130:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 130 | if (i == len1) { | ~~^~~~~~~ nwalign_endsfree.cpp:137:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 137 | if (j == len2) { | ~~^~~~~~~ nwalign_endsfree.cpp:201:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (i=0;i=0 && (band=0 && (bandlen2) { r = len2; } | ~^~~~~ nwalign_endsfree.cpp:305:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (i == len1) { | ~~^~~~~~~ nwalign_endsfree.cpp:314:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 314 | if (j == len2) { | ~~^~~~~~~ nwalign_endsfree.cpp:379:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 379 | for (i=0;i=0 && (band=0 && (bandlen2) { r = len2; } | ~^~~~~ nwalign_endsfree.cpp:522:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 522 | for (i=0;insubs;s++) { | ~^~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb.h:32, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel/TBB.h:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel.h:24, from dada.h:9, from nwalign_endsfree.cpp:3: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwalign_vectorized.cpp -o nwalign_vectorized.o nwalign_vectorized.cpp: In function ‘char** nwalign_vectorized2(const char*, size_t, const char*, size_t, int16_t, int16_t, int16_t, int16_t, int)’: nwalign_vectorized.cpp:96:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 96 | start_col = 1 + (1+(band >, std::vector >, int16_t, int16_t, int16_t, int, bool)’: nwalign_vectorized.cpp:330:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 330 | for(i=0;i& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pval.cpp -o pval.o pval.cpp: In function ‘double compute_lambda(Raw*, Sub*, Rcpp::NumericMatrix, bool, unsigned int)’: pval.cpp:121:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 121 | for(s=0;snsubs;s++) { | ~^~~~~~~~~~~ pval.cpp:123:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 123 | if(pos0 < 0 || pos0 >= sub->len0) { Rcpp::stop("CL: Bad pos0: %i (len0=%i).", pos0, sub->len0); } | ~~~~~^~~~~~~~~~~~ pval.cpp: In function ‘double compute_lambda_ts(Raw*, Sub*, unsigned int, double*, bool)’: pval.cpp:177:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 177 | for(s=0;snsubs;s++) { | ~^~~~~~~~~~~ pval.cpp:179:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 179 | if(pos0 < 0 || pos0 >= sub->len0) { Rcpp::stop("CL: Bad pos0: %i (len0=%i).", pos0, sub->len0); } | ~~~~~^~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb.h:32, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel/TBB.h:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/RcppParallel.h:24, from dada.h:9, from pval.cpp:6: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c taxonomy.cpp -o taxonomy.o taxonomy.cpp: In function ‘void tax_kvec(const char*, unsigned int, unsigned char*)’: taxonomy.cpp:48:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 48 | if(kmer>=0 && kmer >, std::vector >, std::vector >, std::vector, Rcpp::IntegerMatrix, bool, bool)’: taxonomy.cpp:222:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, int>::value_type’ {aka ‘int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | if(ref_to_genus[i]<0 || ref_to_genus[i] >= ngenus) { taxonomy.cpp:252:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 252 | for(kmer=0;kmer& tbb::internal::as_atomic(T&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/tbb_thread.h:251:29: required from here 251 | return as_atomic(location.my_id).compare_and_swap(value.my_id, comparand.my_id); | ~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘long unsigned int’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(long unsigned int)’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h: In instantiation of ‘tbb::atomic& tbb::internal::as_atomic(T&) [with T = tbb::interface5::internal::hash_map_base::bucket*]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/concurrent_hash_map.h:291:31: required from here 291 | && as_atomic(my_table[new_seg]).compare_and_swap(is_allocating, NULL) == NULL ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include/tbb/atomic.h:544:12: warning: casting ‘tbb::interface5::internal::hash_map_base::bucket*’ to ‘tbb::atomic&’ does not use ‘constexpr tbb::atomic::atomic(T*) [with T = tbb::interface5::internal::hash_map_base::bucket]’ [-Wcast-user-defined] 544 | return (atomic&)t; | ^~~~~~~~~~~~~ g++-14 -std=gnu++11 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o dada2.so RcppExports.o Rmain.o chimera.o cluster.o containers.o error.o evaluate.o filter.o kmers.o misc.o nwalign_endsfree.o nwalign_vectorized.o pval.o taxonomy.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpk7kMHt/R.INSTALL2d422230654826/dada2/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-dada2/00new/dada2/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dada2) * installing *source* package ‘gdsfmt’ ... ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpKWOAaI/R.INSTALL2ce5a942fbbd49/gdsfmt/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c R_CoreArray.cpp -o R_CoreArray.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdsfmt.cpp -o gdsfmt.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c digest.cpp -o digest.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/CoreArray.cpp -o CoreArray/CoreArray.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dAllocator.cpp -o CoreArray/dAllocator.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dAny.cpp -o CoreArray/dAny.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dBase.cpp -o CoreArray/dBase.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dBitGDS.cpp -o CoreArray/dBitGDS.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dEndian.cpp -o CoreArray/dEndian.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dFile.cpp -o CoreArray/dFile.o CoreArray/dFile.cpp: In member function ‘void CoreArray::CdObjAttr::Delete(int)’: CoreArray/dFile.cpp:129:17: warning: ignoring return value of ‘std::vector<_Tp, _Alloc>::reference std::vector<_Tp, _Alloc>::at(size_type) [with _Tp = CoreArray::CdObjAttr::TdPair*; _Alloc = std::allocator; reference = CoreArray::CdObjAttr::TdPair*&; size_type = long unsigned int]’, declared with attribute ‘nodiscard’ [-Wunused-result] 129 | fList.at(Index); // check range | ~~~~~~~~^~~~~~~ In file included from /usr/include/c++/14/vector:66, from CoreArray/dPlatform.h:48, from CoreArray/dEndian.h:40, from CoreArray/dBase.h:41, from CoreArray/dFile.h:40, from CoreArray/dFile.cpp:28: /usr/include/c++/14/bits/stl_vector.h:1180:7: note: declared here 1180 | at(size_type __n) | ^~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dParallel.cpp -o CoreArray/dParallel.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c CoreArray/dParallel_Ext.c -o CoreArray/dParallel_Ext.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dPlatform.cpp -o CoreArray/dPlatform.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dRealGDS.cpp -o CoreArray/dRealGDS.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dSerial.cpp -o CoreArray/dSerial.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dStrGDS.cpp -o CoreArray/dStrGDS.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dStream.cpp -o CoreArray/dStream.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dStruct.cpp -o CoreArray/dStruct.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dSparse.cpp -o CoreArray/dSparse.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CoreArray/dVLIntGDS.cpp -o CoreArray/dVLIntGDS.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c -g0 ZLIB/adler32.c -o ZLIB/adler32.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c -g0 ZLIB/compress.c -o ZLIB/compress.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c -g0 ZLIB/crc32.c -o ZLIB/crc32.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c -g0 ZLIB/deflate.c -o ZLIB/deflate.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c -g0 ZLIB/infback.c -o ZLIB/infback.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c -g0 ZLIB/inffast.c -o ZLIB/inffast.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c -g0 ZLIB/inflate.c -o ZLIB/inflate.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c -g0 ZLIB/inftrees.c -o ZLIB/inftrees.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c -g0 ZLIB/trees.c -o ZLIB/trees.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c -g0 ZLIB/uncompr.c -o ZLIB/uncompr.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c -g0 ZLIB/zutil.c -o ZLIB/zutil.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LZ4/lz4.c -o LZ4/lz4.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LZ4/lz4hc.c -o LZ4/lz4hc.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LZ4/lz4frame.c -o LZ4/lz4frame.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -D_FILE_OFFSET_BITS=64 -I../inst/include -ICoreArray -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LZ4/xxhash.c -o LZ4/xxhash.o cd XZ && tar -xzf xz-5.2.9.tar.gz cd XZ/xz-5.2.9 && \ ./configure CC="gcc-14 " CPP="gcc-14 -E" CXX="g++-14 -std=gnu++17" CXXCPP="" --build="" \ --with-pic --enable-silent-rules --quiet --disable-xz --disable-shared > /dev/null cd XZ/xz-5.2.9/src/liblzma && make make[2]: Entering directory '/home/hornik/tmp/scratch/RtmpKWOAaI/R.INSTALL2ce5a942fbbd49/gdsfmt/src/XZ/xz-5.2.9/src/liblzma' Making all in api make[3]: Entering directory '/home/hornik/tmp/scratch/RtmpKWOAaI/R.INSTALL2ce5a942fbbd49/gdsfmt/src/XZ/xz-5.2.9/src/liblzma/api' make[3]: Nothing to be done for 'all'. make[3]: Leaving directory '/home/hornik/tmp/scratch/RtmpKWOAaI/R.INSTALL2ce5a942fbbd49/gdsfmt/src/XZ/xz-5.2.9/src/liblzma/api' make[3]: Entering directory '/home/hornik/tmp/scratch/RtmpKWOAaI/R.INSTALL2ce5a942fbbd49/gdsfmt/src/XZ/xz-5.2.9/src/liblzma' CC liblzma_la-tuklib_physmem.lo CC liblzma_la-tuklib_cpucores.lo CC liblzma_la-common.lo CC liblzma_la-block_util.lo CC liblzma_la-easy_preset.lo CC liblzma_la-filter_common.lo CC liblzma_la-hardware_physmem.lo CC liblzma_la-index.lo CC liblzma_la-stream_flags_common.lo CC liblzma_la-vli_size.lo CC liblzma_la-hardware_cputhreads.lo CC liblzma_la-alone_encoder.lo CC liblzma_la-block_buffer_encoder.lo CC liblzma_la-block_encoder.lo CC liblzma_la-block_header_encoder.lo CC liblzma_la-easy_buffer_encoder.lo CC liblzma_la-easy_encoder.lo CC liblzma_la-easy_encoder_memusage.lo CC liblzma_la-filter_buffer_encoder.lo CC liblzma_la-filter_encoder.lo CC liblzma_la-filter_flags_encoder.lo CC liblzma_la-index_encoder.lo CC liblzma_la-stream_buffer_encoder.lo CC liblzma_la-stream_encoder.lo CC liblzma_la-stream_flags_encoder.lo CC liblzma_la-vli_encoder.lo CC liblzma_la-outqueue.lo CC liblzma_la-stream_encoder_mt.lo CC liblzma_la-alone_decoder.lo CC liblzma_la-auto_decoder.lo CC liblzma_la-block_buffer_decoder.lo CC liblzma_la-block_decoder.lo CC liblzma_la-block_header_decoder.lo CC liblzma_la-easy_decoder_memusage.lo CC liblzma_la-filter_buffer_decoder.lo CC liblzma_la-filter_decoder.lo CC liblzma_la-filter_flags_decoder.lo CC liblzma_la-index_decoder.lo CC liblzma_la-index_hash.lo CC liblzma_la-stream_buffer_decoder.lo CC liblzma_la-stream_decoder.lo CC liblzma_la-stream_flags_decoder.lo CC liblzma_la-vli_decoder.lo CC liblzma_la-check.lo CC liblzma_la-crc32_table.lo CC liblzma_la-crc32_fast.lo CC liblzma_la-crc64_table.lo CC liblzma_la-crc64_fast.lo CC liblzma_la-sha256.lo CC liblzma_la-lz_encoder.lo CC liblzma_la-lz_encoder_mf.lo CC liblzma_la-lz_decoder.lo CC liblzma_la-lzma_encoder_presets.lo CC liblzma_la-lzma_encoder.lo CC liblzma_la-lzma_encoder_optimum_fast.lo CC liblzma_la-lzma_encoder_optimum_normal.lo CC liblzma_la-fastpos_table.lo CC liblzma_la-lzma_decoder.lo CC liblzma_la-lzma2_encoder.lo CC liblzma_la-lzma2_decoder.lo CC liblzma_la-price_table.lo CC liblzma_la-delta_common.lo CC liblzma_la-delta_encoder.lo CC liblzma_la-delta_decoder.lo CC liblzma_la-simple_coder.lo CC liblzma_la-simple_encoder.lo CC liblzma_la-simple_decoder.lo CC liblzma_la-x86.lo CC liblzma_la-powerpc.lo CC liblzma_la-ia64.lo CC liblzma_la-arm.lo CC liblzma_la-armthumb.lo CC liblzma_la-sparc.lo CCLD liblzma.la PC liblzma.pc make[3]: Leaving directory '/home/hornik/tmp/scratch/RtmpKWOAaI/R.INSTALL2ce5a942fbbd49/gdsfmt/src/XZ/xz-5.2.9/src/liblzma' make[2]: Leaving directory '/home/hornik/tmp/scratch/RtmpKWOAaI/R.INSTALL2ce5a942fbbd49/gdsfmt/src/XZ/xz-5.2.9/src/liblzma' cp XZ/xz-5.2.9/src/liblzma/.libs/liblzma.a . rm -rf XZ/xz-5.2.9/dos rm -rf XZ/xz-5.2.9/po g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o gdsfmt.so R_CoreArray.o gdsfmt.o digest.o CoreArray/CoreArray.o CoreArray/dAllocator.o CoreArray/dAny.o CoreArray/dBase.o CoreArray/dBitGDS.o CoreArray/dEndian.o CoreArray/dFile.o CoreArray/dParallel.o CoreArray/dParallel_Ext.o CoreArray/dPlatform.o CoreArray/dRealGDS.o CoreArray/dSerial.o CoreArray/dStrGDS.o CoreArray/dStream.o CoreArray/dStruct.o CoreArray/dSparse.o CoreArray/dVLIntGDS.o ZLIB/adler32.o ZLIB/compress.o ZLIB/crc32.o ZLIB/deflate.o ZLIB/infback.o ZLIB/inffast.o ZLIB/inflate.o ZLIB/inftrees.o ZLIB/trees.o ZLIB/uncompr.o ZLIB/zutil.o LZ4/lz4.o LZ4/lz4hc.o LZ4/lz4frame.o LZ4/xxhash.o ./liblzma.a -lpthread -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpKWOAaI/R.INSTALL2ce5a942fbbd49/gdsfmt/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-gdsfmt/00new/gdsfmt/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gdsfmt) begin installing package ‘SNPRelate’ * installing *source* package ‘SNPRelate’ ... ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpTWXmHd/R.INSTALL2d63324a2b6510/SNPRelate/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ConvToGDS.cpp -o ConvToGDS.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_SNPRelate.c -o R_SNPRelate.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c SNPRelate.cpp -o SNPRelate.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ThreadPool.cpp -o ThreadPool.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dGenGWAS.cpp -o dGenGWAS.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dVect.cpp -o dVect.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c genBeta.cpp -o genBeta.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c genEIGMIX.cpp -o genEIGMIX.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c genFst.cpp -o genFst.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c genHWE.cpp -o genHWE.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c genIBD.cpp -o genIBD.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c genIBS.cpp -o genIBS.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c genKING.cpp -o genKING.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c genLD.cpp -o genLD.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c genPCA.cpp -o genPCA.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/hornik/tmp/CRAN_recheck/Library/gdsfmt/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c genSlideWin.cpp -o genSlideWin.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o SNPRelate.so ConvToGDS.o R_SNPRelate.o SNPRelate.o ThreadPool.o dGenGWAS.o dVect.o genBeta.o genEIGMIX.o genFst.o genHWE.o genIBD.o genIBS.o genKING.o genLD.o genPCA.o genSlideWin.o -lpthread -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpTWXmHd/R.INSTALL2d63324a2b6510/SNPRelate/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-SNPRelate/00new/SNPRelate/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SNPRelate) begin installing package ‘dartR.base’ * installing *source* package ‘dartR.base’ ... ** package ‘dartR.base’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dartR.base) * installing *source* package ‘dggridR’ ... ** package ‘dggridR’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-1) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpCKttnK/R.INSTALL2cf76639f506ca/dggridR/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgAddressBase.cpp -o DgAddressBase.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgApSeq.cpp -o DgApSeq.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgBase.cpp -o DgBase.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgBoundedHexC2RF2D.cpp -o DgBoundedHexC2RF2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgBoundedHexC3C2RF2D.cpp -o DgBoundedHexC3C2RF2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgBoundedHexC3RF2D.cpp -o DgBoundedHexC3RF2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgBoundedIDGG.cpp -o DgBoundedIDGG.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgBoundedIDGGS.cpp -o DgBoundedIDGGS.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgBoundedRF2D.cpp -o DgBoundedRF2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgBoundedRFBase0.cpp -o DgBoundedRFBase0.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgBoundedRFS2D.cpp -o DgBoundedRFS2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgCell.cpp -o DgCell.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgColor.cpp -o DgColor.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgConverterBase.cpp -o DgConverterBase.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgDVec2D.cpp -o DgDVec2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgDVec3D.cpp -o DgDVec3D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgDiscRFS2D.cpp -o DgDiscRFS2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgDistanceBase.cpp -o DgDistanceBase.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgDmdD4Grid2D.cpp -o DgDmdD4Grid2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgDmdD4Grid2DS.cpp -o DgDmdD4Grid2DS.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgDmdD8Grid2D.cpp -o DgDmdD8Grid2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgDmdD8Grid2DS.cpp -o DgDmdD8Grid2DS.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgDmdIDGG.cpp -o DgDmdIDGG.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgEllipsoidRF.cpp -o DgEllipsoidRF.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgGeoSphRF.cpp -o DgGeoSphRF.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgGridTopo.cpp -o DgGridTopo.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgHexC1Grid2D.cpp -o DgHexC1Grid2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgHexC2Grid2D.cpp -o DgHexC2Grid2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgHexC3Grid2D.cpp -o DgHexC3Grid2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgHexGrid2DS.cpp -o DgHexGrid2DS.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgHexIDGG.cpp -o DgHexIDGG.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgHexIDGGS.cpp -o DgHexIDGGS.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgIDGG.cpp -o DgIDGG.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgIDGGBase.cpp -o DgIDGGBase.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgIDGGS.cpp -o DgIDGGS.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgIDGGS3H.cpp -o DgIDGGS3H.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgIDGGS43H.cpp -o DgIDGGS43H.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgIDGGS4D.cpp -o DgIDGGS4D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgIDGGS4H.cpp -o DgIDGGS4H.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgIDGGS4T.cpp -o DgIDGGS4T.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgIDGGSBase.cpp -o DgIDGGSBase.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgIDGGutil.cpp -o DgIDGGutil.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgIVec2D.cpp -o DgIVec2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgIVec3D.cpp -o DgIVec3D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgIcosaMap.cpp -o DgIcosaMap.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgInAIGenFile.cpp -o DgInAIGenFile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgInGDALFile.cpp -o DgInGDALFile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgInLocTextFile.cpp -o DgInLocTextFile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgInShapefile.cpp -o DgInShapefile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgInShapefileAtt.cpp -o DgInShapefileAtt.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgInputStream.cpp -o DgInputStream.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgLocBase.cpp -o DgLocBase.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgLocList.cpp -o DgLocList.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgLocVector.cpp -o DgLocVector.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgLocation.cpp -o DgLocation.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgOutAIGenFile.cpp -o DgOutAIGenFile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgOutChildrenFile.cpp -o DgOutChildrenFile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgOutGdalFile.cpp -o DgOutGdalFile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgOutGeoJSONFile.cpp -o DgOutGeoJSONFile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgOutKMLfile.cpp -o DgOutKMLfile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgOutLocFile.cpp -o DgOutLocFile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgOutLocTextFile.cpp -o DgOutLocTextFile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgOutNeighborsFile.cpp -o DgOutNeighborsFile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgOutPRCellsFile.cpp -o DgOutPRCellsFile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgOutPRPtsFile.cpp -o DgOutPRPtsFile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgOutPtsText.cpp -o DgOutPtsText.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgOutRandPtsText.cpp -o DgOutRandPtsText.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgOutShapefile.cpp -o DgOutShapefile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgOutputStream.cpp -o DgOutputStream.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgParamList.cpp -o DgParamList.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgPolygon.cpp -o DgPolygon.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgProjFuller.cpp -o DgProjFuller.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgProjGnomonicRF.cpp -o DgProjGnomonicRF.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgProjISEA.cpp -o DgProjISEA.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgProjTriRF.cpp -o DgProjTriRF.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgRFBase.cpp -o DgRFBase.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgRFNetwork.cpp -o DgRFNetwork.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgRandom.cpp -o DgRandom.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgSeriesConverter.cpp -o DgSeriesConverter.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgSqrD4Grid2D.cpp -o DgSqrD4Grid2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgSqrD4Grid2DS.cpp -o DgSqrD4Grid2DS.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgSqrD8Grid2D.cpp -o DgSqrD8Grid2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgSqrD8Grid2DS.cpp -o DgSqrD8Grid2DS.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgSuperfund.cpp -o DgSuperfund.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgTriGrid2D.cpp -o DgTriGrid2D.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgTriGrid2DS.cpp -o DgTriGrid2DS.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgTriIDGG.cpp -o DgTriIDGG.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DgUtil.cpp -o DgUtil.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Rwrapper.cpp -o Rwrapper.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c adjlon.cpp -o adjlon.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dbfopen.c -o dbfopen.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dglib.cpp -o dglib.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pj_auth.cpp -o pj_auth.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pj_mlfn.cpp -o pj_mlfn.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pj_msfn.cpp -o pj_msfn.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pj_phi2.cpp -o pj_phi2.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pj_qsfn.cpp -o pj_qsfn.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pj_tsfn.cpp -o pj_tsfn.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c safileio.c -o safileio.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sbnsearch.c -o sbnsearch.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c shpopen.c -o shpopen.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c shptree.c -o shptree.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c shputils.c -o shputils.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c test.cpp -o test.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c util.cpp -o util.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o dggridR.so DgAddressBase.o DgApSeq.o DgBase.o DgBoundedHexC2RF2D.o DgBoundedHexC3C2RF2D.o DgBoundedHexC3RF2D.o DgBoundedIDGG.o DgBoundedIDGGS.o DgBoundedRF2D.o DgBoundedRFBase0.o DgBoundedRFS2D.o DgCell.o DgColor.o DgConverterBase.o DgDVec2D.o DgDVec3D.o DgDiscRFS2D.o DgDistanceBase.o DgDmdD4Grid2D.o DgDmdD4Grid2DS.o DgDmdD8Grid2D.o DgDmdD8Grid2DS.o DgDmdIDGG.o DgEllipsoidRF.o DgGeoSphRF.o DgGridTopo.o DgHexC1Grid2D.o DgHexC2Grid2D.o DgHexC3Grid2D.o DgHexGrid2DS.o DgHexIDGG.o DgHexIDGGS.o DgIDGG.o DgIDGGBase.o DgIDGGS.o DgIDGGS3H.o DgIDGGS43H.o DgIDGGS4D.o DgIDGGS4H.o DgIDGGS4T.o DgIDGGSBase.o DgIDGGutil.o DgIVec2D.o DgIVec3D.o DgIcosaMap.o DgInAIGenFile.o DgInGDALFile.o DgInLocTextFile.o DgInShapefile.o DgInShapefileAtt.o DgInputStream.o DgLocBase.o DgLocList.o DgLocVector.o DgLocation.o DgOutAIGenFile.o DgOutChildrenFile.o DgOutGdalFile.o DgOutGeoJSONFile.o DgOutKMLfile.o DgOutLocFile.o DgOutLocTextFile.o DgOutNeighborsFile.o DgOutPRCellsFile.o DgOutPRPtsFile.o DgOutPtsText.o DgOutRandPtsText.o DgOutShapefile.o DgOutputStream.o DgParamList.o DgPolygon.o DgProjFuller.o DgProjGnomonicRF.o DgProjISEA.o DgProjTriRF.o DgRFBase.o DgRFNetwork.o DgRandom.o DgSeriesConverter.o DgSqrD4Grid2D.o DgSqrD4Grid2DS.o DgSqrD8Grid2D.o DgSqrD8Grid2DS.o DgSuperfund.o DgTriGrid2D.o DgTriGrid2DS.o DgTriIDGG.o DgUtil.o RcppExports.o Rwrapper.o adjlon.o dbfopen.o dglib.o pj_auth.o pj_mlfn.o pj_msfn.o pj_phi2.o pj_qsfn.o pj_tsfn.o safileio.o sbnsearch.o shpopen.o shptree.o shputils.o test.o util.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpCKttnK/R.INSTALL2cf76639f506ca/dggridR/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-dggridR/00new/dggridR/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dggridR) * installing *source* package ‘gllvm’ ... ** package ‘gllvm’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpgExBmQ/R.INSTALL2d3986ddc81a4/gllvm/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DTMBAD_FRAMEWORK -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gllvm.cpp -o gllvm.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMB.hpp:92, from gllvm.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits >’ 23 | template struct traits : traits {}; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:92:71: required from here 92 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:92:71: required from here 92 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:92:71: required from here 92 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:92:71: required from here 92 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:94:69: required from here 94 | if (XT && YT && ZT) z.transpose() = x.transpose() * y.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:94:69: required from here 94 | if (XT && YT && ZT) z.transpose() = x.transpose() * y.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:94:69: required from here 94 | if (XT && YT && ZT) z.transpose() = x.transpose() * y.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:95:58: required from here 95 | if (!XT && YT && ZT) z.transpose() = x * y.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:96:58: required from here 96 | if (XT && !YT && ZT) z.transpose() = x.transpose() * y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:98:47: required from here 98 | if (!XT && !YT && ZT) z.transpose() = x * y; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:65: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:17:8: required from ‘struct tmbutils::vector’ 17 | struct vector : Array | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vectorize.hpp:54:35: required from here 54 | struct vector : tmbutils::vector { | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convert.hpp:114:24: required from here 114 | vector y = tmp.cast(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convert.hpp:114:24: required from here 114 | vector y = tmp.cast(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:473:1: required from here 486 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:503:1: required from here 515 | double res=LUdiag.abs().log().sum(); // TODO: currently PD only - take care of sign. | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:503:1: required from here 515 | double res=LUdiag.abs().log().sum(); // TODO: currently PD only - take care of sign. | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:528:1: required from here 545 | double logdetX = D.log().sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:22:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:22:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/start_parallel.hpp:361:50: required from here 361 | for(int i=0; i::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMB.hpp:96: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/simplicial_inverse_subset.hpp:7:46: required from here 7 | typedef SimplicialLLT > BaseD; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:26: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:56: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:64: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:70: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:566:19: required from here 566 | H0M.diagonal().array() += TMBad::Scalar(1.); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:566:47: required from here 566 | H0M.diagonal().array() += TMBad::Scalar(1.); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:569:17: required from here 569 | return y1 - y2; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1085:26: required from here 1085 | dy_mat.diagonal() *= 2.; dy_mat *= .5; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:25: required from here 225 | term = A * term / n; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:25: required from here 225 | term = A * term / n; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:206:36: required from ‘atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]’ 206 | matrix zero = args[0]*0.0; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 273 | else if (nargs==2) ans=expm(nestedTriangle<1>(args)).bottomLeftCorner(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:206:36: required from ‘atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]’ 206 | matrix zero = args[0]*0.0; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 273 | else if (nargs==2) ans=expm(nestedTriangle<1>(args)).bottomLeftCorner(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:663:29: required from ‘Type objective_function::operator()() [with Type = TMBad::global::ad_aug]’ 663 | cQ.col(j) += 0.5*(dr*Ar.matrix()); | ~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:1277:6: required from here 1277 | F(); // Run through user template (modifies reportvector) | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1374:28: required from ‘Type objective_function::operator()() [with Type = TMBad::global::ad_aug]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:1277:6: required from here 1277 | F(); // Run through user template (modifies reportvector) | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ gllvm.cpp:1374:54: required from ‘Type objective_function::operator()() [with Type = TMBad::global::ad_aug]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:1277:6: required from here 1277 | F(); // Run through user template (modifies reportvector) | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:22:8: required from ‘struct tmbutils::array’ 22 | struct array:Map< Array >{ | ^~~~~ gllvm.cpp:24:3: required from ‘Type objective_function::operator()() [with Type = double]’ 24 | DATA_ARRAY(dr0); // design matrix for rows, (times, n, nr) | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ gllvm.cpp:141:14: required from ‘Type objective_function::operator()() [with Type = double]’ 141 | u.col(q) = u.col(q-1); | ~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ gllvm.cpp:207:17: required from ‘Type objective_function::operator()() [with Type = double]’ 207 | newlam.row(0).fill(1.0); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ gllvm.cpp:376:25: required from ‘Type objective_function::operator()() [with Type = double]’ 376 | CuI = Cu.inverse();//for small matrices use .inverse rather than atomic::matinv | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ gllvm.cpp:379:35: required from ‘Type objective_function::operator()() [with Type = double]’ 379 | Atemp = A(i).topLeftCorner(nlvr,nlvr);//to exlcude the 0 rows & columns for num_RR | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ gllvm.cpp:381:93: required from ‘Type objective_function::operator()() [with Type = double]’ 381 | if(nlvr == (num_lv+num_lv_c)) nll -= Adiag.log().sum() - 0.5*((Atemp*Atemp.transpose()).trace()+(u.row(i)*u.row(i).transpose()).sum()); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:381:77: required from ‘Type objective_function::operator()() [with Type = double]’ 381 | if(nlvr == (num_lv+num_lv_c)) nll -= Adiag.log().sum() - 0.5*((Atemp*Atemp.transpose()).trace()+(u.row(i)*u.row(i).transpose()).sum()); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ gllvm.cpp:381:133: required from ‘Type objective_function::operator()() [with Type = double]’ 381 | if(nlvr == (num_lv+num_lv_c)) nll -= Adiag.log().sum() - 0.5*((Atemp*Atemp.transpose()).trace()+(u.row(i)*u.row(i).transpose()).sum()); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:381:114: required from ‘Type objective_function::operator()() [with Type = double]’ 381 | if(nlvr == (num_lv+num_lv_c)) nll -= Adiag.log().sum() - 0.5*((Atemp*Atemp.transpose()).trace()+(u.row(i)*u.row(i).transpose()).sum()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:381:114: required from ‘Type objective_function::operator()() [with Type = double]’ 381 | if(nlvr == (num_lv+num_lv_c)) nll -= Adiag.log().sum() - 0.5*((Atemp*Atemp.transpose()).trace()+(u.row(i)*u.row(i).transpose()).sum()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:383:52: required from ‘Type objective_function::operator()() [with Type = double]’ 383 | nll -= Adiag.log().sum() - 0.5*(CuI*Atemp*Atemp.transpose()).trace()-0.5*((u.row(i)*CuI)*u.row(i).transpose()).sum(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:383:94: required from ‘Type objective_function::operator()() [with Type = double]’ 383 | nll -= Adiag.log().sum() - 0.5*(CuI*Atemp*Atemp.transpose()).trace()-0.5*((u.row(i)*CuI)*u.row(i).transpose()).sum(); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:383:99: required from ‘Type objective_function::operator()() [with Type = double]’ 383 | nll -= Adiag.log().sum() - 0.5*(CuI*Atemp*Atemp.transpose()).trace()-0.5*((u.row(i)*CuI)*u.row(i).transpose()).sum(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ gllvm.cpp:438:112: required from ‘Type objective_function::operator()() [with Type = double]’ 438 | if(sbl3==(num_lv_c+num_RR)) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.col(klv).transpose()*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.col(klv)).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:438:127: required from ‘Type objective_function::operator()() [with Type = double]’ 438 | if(sbl3==(num_lv_c+num_RR)) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.col(klv).transpose()*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.col(klv)).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:438:138: required from ‘Type objective_function::operator()() [with Type = double]’ 438 | if(sbl3==(num_lv_c+num_RR)) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.col(klv).transpose()*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.col(klv)).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ gllvm.cpp:438:199: required from ‘Type objective_function::operator()() [with Type = double]’ 438 | if(sbl3==(num_lv_c+num_RR)) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.col(klv).transpose()*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.col(klv)).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:438:201: required from ‘Type objective_function::operator()() [with Type = double]’ 438 | if(sbl3==(num_lv_c+num_RR)) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.col(klv).transpose()*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.col(klv)).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:438:255: required from ‘Type objective_function::operator()() [with Type = double]’ 438 | if(sbl3==(num_lv_c+num_RR)) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.col(klv).transpose()*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.col(klv)).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:439:175: required from ‘Type objective_function::operator()() [with Type = double]’ 439 | if(sbl3==Klv) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.row(klv)*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.row(klv).transpose()).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:439:229: required from ‘Type objective_function::operator()() [with Type = double]’ 439 | if(sbl3==Klv) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.row(klv)*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.row(klv).transpose()).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:454:51: required from ‘Type objective_function::operator()() [with Type = double]’ 454 | Ab_lvcov(i) += x_lv(i,klv)*x_lv(i,klv)*AB_lv(klv)*AB_lv(klv).transpose();//cholesky of variance block for num_lv_c | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:454:62: required from ‘Type objective_function::operator()() [with Type = double]’ 454 | Ab_lvcov(i) += x_lv(i,klv)*x_lv(i,klv)*AB_lv(klv)*AB_lv(klv).transpose();//cholesky of variance block for num_lv_c | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:460:53: required from ‘Type objective_function::operator()() [with Type = double]’ 460 | Ab_lvcov(i)(q,q) = (x_lv.row(i)*AB_lv(q)*AB_lv(q).transpose()*x_lv.row(i).transpose()).sum(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:460:74: required from ‘Type objective_function::operator()() [with Type = double]’ 460 | Ab_lvcov(i)(q,q) = (x_lv.row(i)*AB_lv(q)*AB_lv(q).transpose()*x_lv.row(i).transpose()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:472:53: required from ‘Type objective_function::operator()() [with Type = double]’ 472 | cQ(i,j) += 0.5*(RRgamma.col(j).transpose()*Ab_lvcov(i)*RRgamma.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:472:65: required from ‘Type objective_function::operator()() [with Type = double]’ 472 | cQ(i,j) += 0.5*(RRgamma.col(j).transpose()*Ab_lvcov(i)*RRgamma.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:476:25: required from ‘Type objective_function::operator()() [with Type = double]’ 476 | eta += x_lv*b_lv*RRgamma;//for the quadratic model this component is added below | ~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ 103 | template class Block | ^~~~~ gllvm.cpp:483:23: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | u.middleCols(1, num_lv_c) += x_lv*b_lv.leftCols(num_lv_c); | ~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, true>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:483:44: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | u.middleCols(1, num_lv_c) += x_lv*b_lv.leftCols(num_lv_c); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:556:41: required from ‘Type objective_function::operator()() [with Type = double]’ 556 | eta += x_lv*b_lv.rightCols(num_RR)*RRgamma; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ gllvm.cpp:571:29: required from ‘Type objective_function::operator()() [with Type = double]’ 571 | eta.row(i).array() -= (x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose()).value(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, -1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, -1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:571:48: required from ‘Type objective_function::operator()() [with Type = double]’ 571 | eta.row(i).array() -= (x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose()).value(); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:571:71: required from ‘Type objective_function::operator()() [with Type = double]’ 571 | eta.row(i).array() -= (x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >’ 52 | template class Transpose | ^~~~~~~~~ gllvm.cpp:571:123: required from ‘Type objective_function::operator()() [with Type = double]’ 571 | eta.row(i).array() -= (x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:571:76: required from ‘Type objective_function::operator()() [with Type = double]’ 571 | eta.row(i).array() -= (x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ gllvm.cpp:663:43: required from ‘Type objective_function::operator()() [with Type = double]’ 663 | cQ.col(j) += 0.5*(dr*Ar.matrix()); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::MatrixWrapper >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:663:33: required from ‘Type objective_function::operator()() [with Type = double]’ 663 | cQ.col(j) += 0.5*(dr*Ar.matrix()); | ~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:663:29: required from ‘Type objective_function::operator()() [with Type = double]’ 663 | cQ.col(j) += 0.5*(dr*Ar.matrix()); | ~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Transpose >, 0>, 0>’ 63 | template class Diagonal | ^~~~~~~~ gllvm.cpp:710:64: required from ‘Type objective_function::operator()() [with Type = double]’ 710 | cQ.col(j) += 0.5*(dr*(Arm*Arm.transpose()).diagonal().matrix()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:710:33: required from ‘Type objective_function::operator()() [with Type = double]’ 710 | cQ.col(j) += 0.5*(dr*(Arm*Arm.transpose()).diagonal().matrix()); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:710:29: required from ‘Type objective_function::operator()() [with Type = double]’ 710 | cQ.col(j) += 0.5*(dr*(Arm*Arm.transpose()).diagonal().matrix()); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:715:48: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:715:95: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ gllvm.cpp:778:27: required from ‘Type objective_function::operator()() [with Type = double]’ 778 | eta.col(j).array() += r0.array(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ gllvm.cpp:778:41: required from ‘Type objective_function::operator()() [with Type = double]’ 778 | eta.col(j).array() += r0.array(); | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:783:129: required from ‘Type objective_function::operator()() [with Type = double]’ 783 | nll -= atomic::logdet(Arm(i)) + 0.5*( - (SRI*Arm(i)*Arm(i).transpose()).trace()-((r0.col(i).matrix()).transpose()*(SRI*(r0.col(i).matrix()))).sum()); | ~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:783:124: required from ‘Type objective_function::operator()() [with Type = double]’ 783 | nll -= atomic::logdet(Arm(i)) + 0.5*( - (SRI*Arm(i)*Arm(i).transpose()).trace()-((r0.col(i).matrix()).transpose()*(SRI*(r0.col(i).matrix()))).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:829:31: required from ‘Type objective_function::operator()() [with Type = double]’ 829 | cQ.col(j) += 0.5*dLV.col(d)*((newlamCor.col(j).transpose()*(Alvm(d)*Alvm(d).transpose()))*newlamCor.col(j)); | ~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:829:73: required from ‘Type objective_function::operator()() [with Type = double]’ 829 | cQ.col(j) += 0.5*dLV.col(d)*((newlamCor.col(j).transpose()*(Alvm(d)*Alvm(d).transpose()))*newlamCor.col(j)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:829:104: required from ‘Type objective_function::operator()() [with Type = double]’ 829 | cQ.col(j) += 0.5*dLV.col(d)*((newlamCor.col(j).transpose()*(Alvm(d)*Alvm(d).transpose()))*newlamCor.col(j)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:829:42: required from ‘Type objective_function::operator()() [with Type = double]’ 829 | cQ.col(j) += 0.5*dLV.col(d)*((newlamCor.col(j).transpose()*(Alvm(d)*Alvm(d).transpose()))*newlamCor.col(j)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:883:88: required from ‘Type objective_function::operator()() [with Type = double]’ 883 | cQ.col(j) = cQ.col(j) + 0.5*pow(newlamCor(q,j),2)*(dLV*(Atemp.array()*Atemp.array()).matrix()); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Array, const Eigen::Array > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ gllvm.cpp:883:110: required from ‘Type objective_function::operator()() [with Type = double]’ 883 | cQ.col(j) = cQ.col(j) + 0.5*pow(newlamCor(q,j),2)*(dLV*(Atemp.array()*Atemp.array()).matrix()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:883:73: required from ‘Type objective_function::operator()() [with Type = double]’ 883 | cQ.col(j) = cQ.col(j) + 0.5*pow(newlamCor(q,j),2)*(dLV*(Atemp.array()*Atemp.array()).matrix()); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:883:68: required from ‘Type objective_function::operator()() [with Type = double]’ 883 | cQ.col(j) = cQ.col(j) + 0.5*pow(newlamCor(q,j),2)*(dLV*(Atemp.array()*Atemp.array()).matrix()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:883:41: required from ‘Type objective_function::operator()() [with Type = double]’ 883 | cQ.col(j) = cQ.col(j) + 0.5*pow(newlamCor(q,j),2)*(dLV*(Atemp.array()*Atemp.array()).matrix()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>’ 63 | template class Diagonal | ^~~~~~~~ gllvm.cpp:919:105: required from ‘Type objective_function::operator()() [with Type = double]’ 919 | nll -= log(Atemp.diagonal().prod()) + 0.5*(- (Slvinv*(Atemp*Atemp.transpose())).diagonal().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Diagonal, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Diagonal, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Diagonal, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Diagonal, 0>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Diagonal, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Diagonal, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:975:36: required from ‘Type objective_function::operator()() [with Type = double]’ 975 | cQ.col(j) += 0.5*(dLV*Alvm.diagonal())*((newlamCor.col(j).transpose()*AQ)*newlamCor.col(j)); | ~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:975:31: required from ‘Type objective_function::operator()() [with Type = double]’ 975 | cQ.col(j) += 0.5*(dLV*Alvm.diagonal())*((newlamCor.col(j).transpose()*AQ)*newlamCor.col(j)); | ~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:975:53: required from ‘Type objective_function::operator()() [with Type = double]’ 975 | cQ.col(j) += 0.5*(dLV*Alvm.diagonal())*((newlamCor.col(j).transpose()*AQ)*newlamCor.col(j)); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ gllvm.cpp:1071:122: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1071:69: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1073:80: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1073:87: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Diagonal, Eigen::Transpose >, 0>, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Diagonal, Eigen::Transpose >, 0>, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Diagonal, Eigen::Transpose >, 0>, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Diagonal, Eigen::Transpose >, 0>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1127:29: required from ‘Type objective_function::operator()() [with Type = double]’ 1127 | cQ.col(j) += 0.5*(Alvm*Alvm.transpose()).diagonal().matrix()*((newlamCor.col(j).transpose()*(AQ*AQ.transpose()))*newlamCor.col(j)); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Diagonal, Eigen::Transpose >, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Diagonal, Eigen::Transpose >, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Diagonal, Eigen::Transpose >, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Diagonal, Eigen::Transpose >, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Diagonal, Eigen::Transpose >, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1127:73: required from ‘Type objective_function::operator()() [with Type = double]’ 1127 | cQ.col(j) += 0.5*(Alvm*Alvm.transpose()).diagonal().matrix()*((newlamCor.col(j).transpose()*(AQ*AQ.transpose()))*newlamCor.col(j)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, -1, false>’ 103 | template class Block | ^~~~~ gllvm.cpp:1157:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ gllvm.cpp:1157:148: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1157:82: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1206:57: required from ‘Type objective_function::operator()() [with Type = double]’ 1206 | cQ(i,j) += 0.5*(newlam.col(j).transpose()*A(i)*A(i).transpose()*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1206:74: required from ‘Type objective_function::operator()() [with Type = double]’ 1206 | cQ(i,j) += 0.5*(newlam.col(j).transpose()*A(i)*A(i).transpose()*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1330:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1330 | eta(i,j) -= x_lv.row(i)*b_lv2*D(j)*(x_lv.row(i)*b_lv2).transpose(); | ~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >’ 52 | template class Transpose | ^~~~~~~~~ gllvm.cpp:1330:80: required from ‘Type objective_function::operator()() [with Type = double]’ 1330 | eta(i,j) -= x_lv.row(i)*b_lv2*D(j)*(x_lv.row(i)*b_lv2).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1330:50: required from ‘Type objective_function::operator()() [with Type = double]’ 1330 | eta(i,j) -= x_lv.row(i)*b_lv2*D(j)*(x_lv.row(i)*b_lv2).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1369:41: required from ‘Type objective_function::operator()() [with Type = double]’ 1369 | Cinv = (Id - 2*sign*Acov*D(j)).inverse(); | ~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1369:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1369 | Cinv = (Id - 2*sign*Acov*D(j)).inverse(); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1> >, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DiagonalMatrix, 1> > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ gllvm.cpp:1369:55: required from ‘Type objective_function::operator()() [with Type = double]’ 1369 | Cinv = (Id - 2*sign*Acov*D(j)).inverse(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1370:40: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1370:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1370:50: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1370:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 278 | typedef typename DiagonalVectorType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 42 | typedef typename internal::traits::StorageKind StorageKind; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from ‘class Eigen::DiagonalBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 18 | class DiagonalBase : public EigenBase | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from ‘class Eigen::DiagonalWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 293 | class DiagonalWrapper | ^~~~~~~~~~~~~~~ gllvm.cpp:1371:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1371:37: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1371:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1371:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1374:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1374:54: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1374:59: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1374:64: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1374:80: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1374:96: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1374:94: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1374:69: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1374:125: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1374:134: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1374:139: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1374:144: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1374:118: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1378:44: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1378:50: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1378:55: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1378:60: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1378:99: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1378:74: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1378:161: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1378:166: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1378:131: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1379:50: required from ‘Type objective_function::operator()() [with Type = double]’ 1379 | cQ(i,j) -= sign*2*u.row(i)*D(j)*(x_lv.row(i)*b_lv2).transpose(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ gllvm.cpp:1384:54: required from ‘Type objective_function::operator()() [with Type = double]’ 1384 | logdetC = BiQL.diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1385:59: required from ‘Type objective_function::operator()() [with Type = double]’ 1385 | cQ(i,j) += 0.5*vBinvv+logdetC - sign*(D(j)*Acov).trace() - sign*(u.row(i)*D(j)*u.row(i).transpose()).sum(); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::DiagonalMatrix, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1385:90: required from ‘Type objective_function::operator()() [with Type = double]’ 1385 | cQ(i,j) += 0.5*vBinvv+logdetC - sign*(D(j)*Acov).trace() - sign*(u.row(i)*D(j)*u.row(i).transpose()).sum(); | ~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1385:95: required from ‘Type objective_function::operator()() [with Type = double]’ 1385 | cQ(i,j) += 0.5*vBinvv+logdetC - sign*(D(j)*Acov).trace() - sign*(u.row(i)*D(j)*u.row(i).transpose()).sum(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1395:38: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1395:43: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1395:75: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1395:80: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1395:85: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1395:139: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1398:98: required from ‘Type objective_function::operator()() [with Type = double]’ 1398 | cQ(i,j) += (2*x_lv.row(i)*b_lv2*D(j)*Acov*D(j)*(x_lv.row(i)*b_lv2).transpose() -2*x_lv.row(i)*b_lv2*D(j)*Acov*newlam.col(j)+4*u.row(i)*D(j)*Acov*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1398:163: required from ‘Type objective_function::operator()() [with Type = double]’ 1398 | cQ(i,j) += (2*x_lv.row(i)*b_lv2*D(j)*Acov*D(j)*(x_lv.row(i)*b_lv2).transpose() -2*x_lv.row(i)*b_lv2*D(j)*Acov*newlam.col(j)+4*u.row(i)*D(j)*Acov*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1398:168: required from ‘Type objective_function::operator()() [with Type = double]’ 1398 | cQ(i,j) += (2*x_lv.row(i)*b_lv2*D(j)*Acov*D(j)*(x_lv.row(i)*b_lv2).transpose() -2*x_lv.row(i)*b_lv2*D(j)*Acov*newlam.col(j)+4*u.row(i)*D(j)*Acov*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1398:142: required from ‘Type objective_function::operator()() [with Type = double]’ 1398 | cQ(i,j) += (2*x_lv.row(i)*b_lv2*D(j)*Acov*D(j)*(x_lv.row(i)*b_lv2).transpose() -2*x_lv.row(i)*b_lv2*D(j)*Acov*newlam.col(j)+4*u.row(i)*D(j)*Acov*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1408:84: required from ‘Type objective_function::operator()() [with Type = double]’ 1408 | eta(i,j) += - (u.row(i)*D(j)*u.row(i).transpose()).sum() - (D(j)*A(i)*A(i).transpose()).trace(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1528:19: required from ‘Type objective_function::operator()() [with Type = double]’ 1528 | iphi = iphi/(1+iphi); | ~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:1528:16: required from ‘Type objective_function::operator()() [with Type = double]’ 1528 | iphi = iphi/(1+iphi); | ~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1895:54: required from ‘Type objective_function::operator()() [with Type = double]’ 1895 | eta.row(i).array() -= (x_lv.row(i)*b_lv3*D_RR*(x_lv.row(i)*b_lv3).transpose()).value(); | ~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ gllvm.cpp:1895:59: required from ‘Type objective_function::operator()() [with Type = double]’ 1895 | eta.row(i).array() -= (x_lv.row(i)*b_lv3*D_RR*(x_lv.row(i)*b_lv3).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ gllvm.cpp:2003:35: required from ‘Type objective_function::operator()() [with Type = double]’ 2003 | eta.col(j) = eta.col(j) + dr*r0; | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/start_parallel.hpp:375:43: required from ‘Vector parallelADFun::forward(const Vector&) [with Vector = Eigen::Matrix; Type = double]’ 375 | for(int i=0; iforward(x); | ~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::MatrixWrapper >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convenience.hpp:49:13: required from ‘tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 49 | return (A * x.matrix()).array(); | ~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18: required from here 225 | term = A * term / n; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::MatrixWrapper >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convenience.hpp:49:32: required from ‘tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 49 | return (A * x.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18: required from here 225 | term = A * term / n; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:30:27: required from ‘Type atomic::Block::norm() [with Type = double]’ 30 | Aabs = A.array().abs(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:31:47: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:25:29: required from ‘atomic::Block atomic::Block::addIdentity() [with Type = double]’ 25 | return Block( this->A + I ); | ~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:245:45: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 245 | matrix_pade E = AA.scale( c).addIdentity(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:55: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:26: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1613:41: required from ‘struct Eigen::internal::evaluator, 0> >’ 1613 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0> > >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0> > > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:76: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type >, const Eigen::CwiseUnaryOp, const Eigen::Map > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase > >::CastXpr::Type Eigen::DenseBase > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convert.hpp:114:35: required from ‘tmbutils::vector asVector(SEXP) [with Type = double; SEXP = SEXPREC*]’ 114 | vector y = tmp.cast(); | ~~~~~~~~~~~~~~^~ gllvm.cpp:36:3: required from ‘Type objective_function::operator()() [with Type = double]’ 222 | asVector(TMB_OBJECTIVE_PTR -> getShape(#name, &Rf_isReal )), \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:311:55: required from ‘tmbutils::matrix tmbutils::array::matrix() [with Type = double]’ 311 | tmbutils::matrix ans = this->MapBase::matrix(); | ~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:78:31: required from ‘Type objective_function::operator()() [with Type = double]’ 78 | matrix dr = dr0.matrix(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:298:23: required from ‘Type objective_function::operator()() [with Type = double]’ 298 | newlamCor.row(d)*=fabs(sigmaLV(d)); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:383:77: required from ‘Type objective_function::operator()() [with Type = double]’ 383 | nll -= Adiag.log().sum() - 0.5*(CuI*Atemp*Atemp.transpose()).trace()-0.5*((u.row(i)*CuI)*u.row(i).transpose()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:438:168: required from ‘Type objective_function::operator()() [with Type = double]’ 438 | if(sbl3==(num_lv_c+num_RR)) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.col(klv).transpose()*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.col(klv)).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 1, -1, false> >; Scalar = double]’ 34 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:571:32: required from ‘Type objective_function::operator()() [with Type = double]’ 571 | eta.row(i).array() -= (x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 1, -1, false> >; Scalar = double]’ 34 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:571:32: required from ‘Type objective_function::operator()() [with Type = double]’ 571 | eta.row(i).array() -= (x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8: required from ‘struct Eigen::internal::evaluator >’ 273 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 96 | struct product_evaluator, ProductTag, LhsShape, RhsShape> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ distrib.h:100:40: required from ‘tmbutils::matrix gllvm::corExp(Type, Type, int, tmbutils::matrix) [with Type = double]’ 100 | S(d,j)=s0*exp(-sqrt( (((dc.row(d)-dc.row(j))*alf)*(dc.row(d)-dc.row(j)).transpose()).sum() ) )*s0;// | ~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:686:33: required from ‘Type objective_function::operator()() [with Type = double]’ 686 | Sr = gllvm::corExp(sigma, Type(0), nr, dc_scaled); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ distrib.h:100:51: required from ‘tmbutils::matrix gllvm::corExp(Type, Type, int, tmbutils::matrix) [with Type = double]’ 100 | S(d,j)=s0*exp(-sqrt( (((dc.row(d)-dc.row(j))*alf)*(dc.row(d)-dc.row(j)).transpose()).sum() ) )*s0;// | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:686:33: required from ‘Type objective_function::operator()() [with Type = double]’ 686 | Sr = gllvm::corExp(sigma, Type(0), nr, dc_scaled); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ distrib.h:100:88: required from ‘tmbutils::matrix gllvm::corExp(Type, Type, int, tmbutils::matrix) [with Type = double]’ 100 | S(d,j)=s0*exp(-sqrt( (((dc.row(d)-dc.row(j))*alf)*(dc.row(d)-dc.row(j)).transpose()).sum() ) )*s0;// | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:686:33: required from ‘Type objective_function::operator()() [with Type = double]’ 686 | Sr = gllvm::corExp(sigma, Type(0), nr, dc_scaled); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ distrib.h:100:56: required from ‘tmbutils::matrix gllvm::corExp(Type, Type, int, tmbutils::matrix) [with Type = double]’ 100 | S(d,j)=s0*exp(-sqrt( (((dc.row(d)-dc.row(j))*alf)*(dc.row(d)-dc.row(j)).transpose()).sum() ) )*s0;// | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:686:33: required from ‘Type objective_function::operator()() [with Type = double]’ 686 | Sr = gllvm::corExp(sigma, Type(0), nr, dc_scaled); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ distrib.h:122:51: required from ‘tmbutils::matrix gllvm::corMatern(Type, Type, Type, int, tmbutils::matrix) [with Type = double]’ 122 | S(d,j)=s0*matern(sqrt(((dc.row(d)-dc.row(j))*(dc.row(d)-dc.row(j)).transpose()).sum()), phi, kappa)*s0; //old | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:689:36: required from ‘Type objective_function::operator()() [with Type = double]’ 689 | Sr = gllvm::corMatern(sigma, Type(1), exp(log_sigma(dc.cols()+1)), nr, dc_scaled); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Matrix, 0>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:970:56: required from ‘Type objective_function::operator()() [with Type = double]’ 970 | nll -= 0.5*(- AQ(q,q)*(Slvinv*Alvm).trace()-( ucopy.col(q).transpose()*(Slvinv*ucopy.col(q)) ).sum()); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Matrix, 1>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 1>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:1385:71: required from ‘Type objective_function::operator()() [with Type = double]’ 1385 | cQ(i,j) += 0.5*vBinvv+logdetC - sign*(D(j)*Acov).trace() - sign*(u.row(i)*D(j)*u.row(i).transpose()).sum(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:1395:55: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 1>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:1408:108: required from ‘Type objective_function::operator()() [with Type = double]’ 1408 | eta(i,j) += - (u.row(i)*D(j)*u.row(i).transpose()).sum() - (D(j)*A(i)*A(i).transpose()).trace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1036:23: required from ‘density::VECSCALE_t::scalartype density::VECSCALE_t::operator()(vectortype) [with distribution = density::UNSTRUCTURED_CORR_t; scalartype = double; vectortype = tmbutils::vector]’ 1036 | scalartype ans=f(x/scale); | ~^~~~~~ gllvm.cpp:1930:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1930 | nll += VECSCALE(neg_log_MVN,sdsv)(Brcol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:44: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:22: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:77: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:337:3: required from ‘void Eigen::DenseBase::fill(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 337 | setConstant(val); | ^~~~~~~~~~~ gllvm.cpp:110:52: required from ‘Type objective_function::operator()() [with Type = double]’ 110 | matrix DiSc(dc.cols(),dc.cols()); DiSc.fill(0.0); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:117:24: required from ‘Derived& Eigen::ArrayBase::operator=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Scalar = double]’ 117 | { Base::setConstant(value); return derived(); } | ~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:192:41: required from ‘Type objective_function::operator()() [with Type = double]’ 192 | Sigmab_lv(q).diagonal().array() = sigmab_lv(q); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:337:3: required from ‘void Eigen::DenseBase::fill(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 337 | setConstant(val); | ^~~~~~~~~~~ gllvm.cpp:208:25: required from ‘Type objective_function::operator()() [with Type = double]’ 208 | Cu.diagonal().fill(1.0); | ~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:919:111: required from ‘Type objective_function::operator()() [with Type = double]’ 919 | nll -= log(Atemp.diagonal().prod()) + 0.5*(- (Slvinv*(Atemp*Atemp.transpose())).diagonal().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Product, Eigen::Transpose >, 0>, 1>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 0> >’ 1626 | typedef typename XprType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:919:111: required from ‘Type objective_function::operator()() [with Type = double]’ 919 | nll -= log(Atemp.diagonal().prod()) + 0.5*(- (Slvinv*(Atemp*Atemp.transpose())).diagonal().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:146:21: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 146 | Q = ldlt.solve(I); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:24:20: required from ‘atomic::Block atomic::Block::addIdentity() [with Type = double]’ 24 | I.setIdentity(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:245:45: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 245 | matrix_pade E = AA.scale( c).addIdentity(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, Eigen::Transpose >, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:381:102: required from ‘Type objective_function::operator()() [with Type = double]’ 381 | if(nlvr == (num_lv+num_lv_c)) nll -= Adiag.log().sum() - 0.5*((Atemp*Atemp.transpose()).trace()+(u.row(i)*u.row(i).transpose()).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Transpose >, 1>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 1>, 0> >’ 1626 | typedef typename XprType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, Eigen::Transpose >, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:381:102: required from ‘Type objective_function::operator()() [with Type = double]’ 381 | if(nlvr == (num_lv+num_lv_c)) nll -= Adiag.log().sum() - 0.5*((Atemp*Atemp.transpose()).trace()+(u.row(i)*u.row(i).transpose()).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:383:77: required from ‘Type objective_function::operator()() [with Type = double]’ 383 | nll -= Adiag.log().sum() - 0.5*(CuI*Atemp*Atemp.transpose()).trace()-0.5*((u.row(i)*CuI)*u.row(i).transpose()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0> >’ 1626 | typedef typename XprType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:383:77: required from ‘Type objective_function::operator()() [with Type = double]’ 383 | nll -= Adiag.log().sum() - 0.5*(CuI*Atemp*Atemp.transpose()).trace()-0.5*((u.row(i)*CuI)*u.row(i).transpose()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:438:168: required from ‘Type objective_function::operator()() [with Type = double]’ 438 | if(sbl3==(num_lv_c+num_RR)) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.col(klv).transpose()*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.col(klv)).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 1>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 1>, 0> >’ 1626 | typedef typename XprType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Diagonal, 0> > >, Eigen::Matrix, 1>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:438:168: required from ‘Type objective_function::operator()() [with Type = double]’ 438 | if(sbl3==(num_lv_c+num_RR)) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.col(klv).transpose()*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.col(klv)).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:970:56: required from ‘Type objective_function::operator()() [with Type = double]’ 970 | nll -= 0.5*(- AQ(q,q)*(Slvinv*Alvm).trace()-( ucopy.col(q).transpose()*(Slvinv*ucopy.col(q)) ).sum()); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Matrix, 1>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 1>, 0> >’ 1626 | typedef typename XprType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:970:56: required from ‘Type objective_function::operator()() [with Type = double]’ 970 | nll -= 0.5*(- AQ(q,q)*(Slvinv*Alvm).trace()-( ucopy.col(q).transpose()*(Slvinv*ucopy.col(q)) ).sum()); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:43: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:1395:55: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1>, 0> >’ 1626 | typedef typename XprType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 1>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:1395:55: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 1>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:1408:108: required from ‘Type objective_function::operator()() [with Type = double]’ 1408 | eta(i,j) += - (u.row(i)*D(j)*u.row(i).transpose()).sum() - (D(j)*A(i)*A(i).transpose()).trace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, Eigen::Transpose >, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1>, Eigen::Transpose >, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1>, Eigen::Transpose >, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Matrix, 1>, Eigen::Transpose >, 1>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 1>, Eigen::Transpose >, 1>, 0> >’ 1626 | typedef typename XprType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 1>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 1>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:1408:108: required from ‘Type objective_function::operator()() [with Type = double]’ 1408 | eta(i,j) += - (u.row(i)*D(j)*u.row(i).transpose()).sum() - (D(j)*A(i)*A(i).transpose()).trace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:1553:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1553 | int ymaxj = CppAD::Integer(y.col(j).maxCoeff()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ 398 | TriangularViewType& operator/=(const typename internal::traits::Scalar& other) { return *this = derived().nestedExpression() / other; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 455 | mat.template triangularView() /= scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 563 | diag.segment(i,n-i).minCoeff(&k); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 255 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:21:17: required from ‘Eigen::SparseMatrix pattern(const Eigen::SparseMatrix&, std::vector) [with NewType = double; OldType = TMBad::global::ad_aug]’ 21 | return Eigen::Map > (S.rows(), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 22 | S.cols(), | ~~~~~~~~~ 23 | S.nonZeros(), | ~~~~~~~~~~~~~ 24 | S.outerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 25 | S.innerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 26 | x.data(), | ~~~~~~~~~ 27 | S.innerNonZeroPtr()); | ~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1191:64: required from ‘Type newton::log_determinant(const Eigen::SparseMatrix&, std::shared_ptr >) [with Type = TMBad::global::ad_aug]’ 1191 | TMBad::global::Complete > LD(pattern(H), ptr->llt); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1303:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t<>]’ 1303 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1304 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1389:25: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1389 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1428:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1428 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1436:63: required from here 1438 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:381:61: required from ‘Type objective_function::operator()() [with Type = double]’ 381 | if(nlvr == (num_lv+num_lv_c)) nll -= Adiag.log().sum() - 0.5*((Atemp*Atemp.transpose()).trace()+(u.row(i)*u.row(i).transpose()).sum()); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_product_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_product_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:497:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::prod() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ 497 | return derived().redux(Eigen::internal::scalar_product_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:886:38: required from ‘Type objective_function::operator()() [with Type = double]’ 886 | nll -= log(Atemp.prod()); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1330:24: required from ‘Type objective_function::operator()() [with Type = double]’ 1330 | eta(i,j) -= x_lv.row(i)*b_lv2*D(j)*(x_lv.row(i)*b_lv2).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1330:24: required from ‘Type objective_function::operator()() [with Type = double]’ 1330 | eta(i,j) -= x_lv.row(i)*b_lv2*D(j)*(x_lv.row(i)*b_lv2).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1379:27: required from ‘Type objective_function::operator()() [with Type = double]’ 1379 | cQ(i,j) -= sign*2*u.row(i)*D(j)*(x_lv.row(i)*b_lv2).transpose(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1379:27: required from ‘Type objective_function::operator()() [with Type = double]’ 1379 | cQ(i,j) -= sign*2*u.row(i)*D(j)*(x_lv.row(i)*b_lv2).transpose(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1906:24: required from ‘Type objective_function::operator()() [with Type = double]’ 1906 | eta(i,j) -= x_lv.row(i)*b_lv3*D_RR*(x_lv.row(i)*b_lv3).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1906:24: required from ‘Type objective_function::operator()() [with Type = double]’ 1906 | eta(i,j) -= x_lv.row(i)*b_lv3*D_RR*(x_lv.row(i)*b_lv3).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 292 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:21:17: required from ‘Eigen::SparseMatrix pattern(const Eigen::SparseMatrix&, std::vector) [with NewType = double; OldType = TMBad::global::ad_aug]’ 21 | return Eigen::Map > (S.rows(), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 22 | S.cols(), | ~~~~~~~~~ 23 | S.nonZeros(), | ~~~~~~~~~~~~~ 24 | S.outerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 25 | S.innerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 26 | x.data(), | ~~~~~~~~~ 27 | S.innerNonZeroPtr()); | ~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1191:64: required from ‘Type newton::log_determinant(const Eigen::SparseMatrix&, std::shared_ptr >) [with Type = TMBad::global::ad_aug]’ 1191 | TMBad::global::Complete > LD(pattern(H), ptr->llt); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1303:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t<>]’ 1303 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1304 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1389:25: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1389 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1428:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1428 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1436:63: required from here 1438 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:298:23: required from ‘Type objective_function::operator()() [with Type = double]’ 298 | newlamCor.row(d)*=fabs(sigmaLV(d)); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:472:87: required from ‘Type objective_function::operator()() [with Type = double]’ 472 | cQ(i,j) += 0.5*(RRgamma.col(j).transpose()*Ab_lvcov(i)*RRgamma.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:472:87: required from ‘Type objective_function::operator()() [with Type = double]’ 472 | cQ(i,j) += 0.5*(RRgamma.col(j).transpose()*Ab_lvcov(i)*RRgamma.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, -1, -1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:483:37: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | u.middleCols(1, num_lv_c) += x_lv*b_lv.leftCols(num_lv_c); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:50:1: required from ‘const Eigen::CwiseBinaryOp::Scalar, typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type> Eigen::MatrixBase::operator*(const T&) const [with T = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type = Eigen::CwiseNullaryOp, const Eigen::Matrix >]’ 1368 | typename internal::plain_constant_type::type(derived().rows(), derived().cols(), internal::scalar_constant_op(scalar))); \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:829:42: required from ‘Type objective_function::operator()() [with Type = double]’ 829 | cQ.col(j) += 0.5*dLV.col(d)*((newlamCor.col(j).transpose()*(Alvm(d)*Alvm(d).transpose()))*newlamCor.col(j)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:50:1: required from ‘const Eigen::CwiseBinaryOp::Scalar, typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type> Eigen::MatrixBase::operator*(const T&) const [with T = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type = Eigen::CwiseNullaryOp, const Eigen::Matrix >]’ 1368 | typename internal::plain_constant_type::type(derived().rows(), derived().cols(), internal::scalar_constant_op(scalar))); \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:829:42: required from ‘Type objective_function::operator()() [with Type = double]’ 829 | cQ.col(j) += 0.5*dLV.col(d)*((newlamCor.col(j).transpose()*(Alvm(d)*Alvm(d).transpose()))*newlamCor.col(j)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Diagonal, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Diagonal, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Diagonal, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Diagonal, 0>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Diagonal, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Diagonal, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:975:25: required from ‘Type objective_function::operator()() [with Type = double]’ 975 | cQ.col(j) += 0.5*(dLV*Alvm.diagonal())*((newlamCor.col(j).transpose()*AQ)*newlamCor.col(j)); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1206:95: required from ‘Type objective_function::operator()() [with Type = double]’ 1206 | cQ(i,j) += 0.5*(newlam.col(j).transpose()*A(i)*A(i).transpose()*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1206:95: required from ‘Type objective_function::operator()() [with Type = double]’ 1206 | cQ(i,j) += 0.5*(newlam.col(j).transpose()*A(i)*A(i).transpose()*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false> >; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false> >; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1395:113: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false> >; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false> >; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1395:113: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1395:160: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1395:160: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:1545:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1545 | int ymax = CppAD::Integer(y.maxCoeff()); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:1553:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1553 | int ymaxj = CppAD::Integer(y.col(j).maxCoeff()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Block, 1, -1, false>; OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::Block, 1, -1, false>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ gllvm.cpp:1864:40: required from ‘Type objective_function::operator()() [with Type = double]’ 1864 | nll += MVNORM(Sigmab_lv(klv))(b_lv.row(klv)); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ 671 | ordering(C,m_Pinv); | ~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 208 | ordering(matrix, pmat, tmp); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:374:36: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 374 | Base::template compute(matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:97:24: required from ‘Eigen::SimplicialCholeskyBase::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 97 | derived().compute(matrix); | ~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:357:22: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 357 | : Base(matrix) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1208:37: required from here 1208 | DEFAULT_SPARSE_FACTORIZATION llt(H); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:36:14: required from ‘void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]’ 36 | symmat = C + A; | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from ‘void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]’ 63 | internal::ordering_helper_at_plus_a(mat,symm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ 671 | ordering(C,m_Pinv); | ~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 208 | ordering(matrix, pmat, tmp); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:374:36: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 374 | Base::template compute(matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:97:24: required from ‘Eigen::SimplicialCholeskyBase::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 97 | derived().compute(matrix); | ~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:357:22: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 357 | : Base(matrix) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1208:37: required from here 1208 | DEFAULT_SPARSE_FACTORIZATION llt(H); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:381:140: required from ‘Type objective_function::operator()() [with Type = double]’ 381 | if(nlvr == (num_lv+num_lv_c)) nll -= Adiag.log().sum() - 0.5*((Atemp*Atemp.transpose()).trace()+(u.row(i)*u.row(i).transpose()).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:383:125: required from ‘Type objective_function::operator()() [with Type = double]’ 383 | nll -= Adiag.log().sum() - 0.5*(CuI*Atemp*Atemp.transpose()).trace()-0.5*((u.row(i)*CuI)*u.row(i).transpose()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:438:274: required from ‘Type objective_function::operator()() [with Type = double]’ 438 | if(sbl3==(num_lv_c+num_RR)) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.col(klv).transpose()*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.col(klv)).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Block, -1, 1, true>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:438:274: required from ‘Type objective_function::operator()() [with Type = double]’ 438 | if(sbl3==(num_lv_c+num_RR)) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.col(klv).transpose()*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.col(klv)).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:439:260: required from ‘Type objective_function::operator()() [with Type = double]’ 439 | if(sbl3==Klv) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.row(klv)*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.row(klv).transpose()).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >, const Eigen::Transpose, 1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >, const Eigen::Transpose, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >, const Eigen::Transpose, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1> >, const Eigen::Transpose, 1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalWrapper, const Eigen::Diagonal, 0> > >, 1>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:439:260: required from ‘Type objective_function::operator()() [with Type = double]’ 439 | if(sbl3==Klv) nll -= (AB_lvDiag.log().sum() - 0.5*(Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*AB_lv(klv)*AB_lv(klv).transpose()).trace()-0.5*(b_lv.row(klv)*Sigmab_lv(klv).diagonal().cwiseInverse().asDiagonal()*b_lv.row(klv).transpose()).sum());// log(det(A_bj))-sum(trace(S^(-1)A_bj))*0.5 + a_bj*(S^(-1))*a_bj | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:460:103: required from ‘Type objective_function::operator()() [with Type = double]’ 460 | Ab_lvcov(i)(q,q) = (x_lv.row(i)*AB_lv(q)*AB_lv(q).transpose()*x_lv.row(i).transpose()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Transpose, 1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Transpose, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Transpose, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Transpose, 1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:460:103: required from ‘Type objective_function::operator()() [with Type = double]’ 460 | Ab_lvcov(i)(q,q) = (x_lv.row(i)*AB_lv(q)*AB_lv(q).transpose()*x_lv.row(i).transpose()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:532:60: required from ‘Type objective_function::operator()() [with Type = double]’ 532 | Ab_lvcov(i).bottomRightCorner(num_RR,num_RR) = tempRR; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:503:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 515 | double res=LUdiag.abs().log().sum(); // TODO: currently PD only - take care of sign. | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:636:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 636 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ gllvm.cpp:717:40: required from ‘Type objective_function::operator()() [with Type = double]’ 717 | nll -= 0.5*(nr-atomic::logdet(Sr)); | ~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:783:156: required from ‘Type objective_function::operator()() [with Type = double]’ 783 | nll -= atomic::logdet(Arm(i)) + 0.5*( - (SRI*Arm(i)*Arm(i).transpose()).trace()-((r0.col(i).matrix()).transpose()*(SRI*(r0.col(i).matrix()))).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:783:156: required from ‘Type objective_function::operator()() [with Type = double]’ 783 | nll -= atomic::logdet(Arm(i)) + 0.5*( - (SRI*Arm(i)*Arm(i).transpose()).trace()-((r0.col(i).matrix()).transpose()*(SRI*(r0.col(i).matrix()))).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:883:29: required from ‘Type objective_function::operator()() [with Type = double]’ 883 | cQ.col(j) = cQ.col(j) + 0.5*pow(newlamCor(q,j),2)*(dLV*(Atemp.array()*Atemp.array()).matrix()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0> >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:919:111: required from ‘Type objective_function::operator()() [with Type = double]’ 919 | nll -= log(Atemp.diagonal().prod()) + 0.5*(- (Slvinv*(Atemp*Atemp.transpose())).diagonal().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0> >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:919:111: required from ‘Type objective_function::operator()() [with Type = double]’ 919 | nll -= log(Atemp.diagonal().prod()) + 0.5*(- (Slvinv*(Atemp*Atemp.transpose())).diagonal().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::DiagonalMatrix, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::DiagonalMatrix, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::DiagonalMatrix, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1385:121: required from ‘Type objective_function::operator()() [with Type = double]’ 1385 | cQ(i,j) += 0.5*vBinvv+logdetC - sign*(D(j)*Acov).trace() - sign*(u.row(i)*D(j)*u.row(i).transpose()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1385:121: required from ‘Type objective_function::operator()() [with Type = double]’ 1385 | cQ(i,j) += 0.5*vBinvv+logdetC - sign*(D(j)*Acov).trace() - sign*(u.row(i)*D(j)*u.row(i).transpose()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:153:37: required from ‘density::MVNORM_t::scalartype density::MVNORM_t::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 153 | return (x*(vectortype(Q*x))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:157:53: required from ‘density::MVNORM_t::scalartype density::MVNORM_t::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 157 | return -scalartype(.5)*logdetQ + scalartype(.5)*Quadform(x) + x.size()*scalartype(log(sqrt(2.0*M_PI))); | ^~~~~~~~ gllvm.cpp:1864:40: required from ‘Type objective_function::operator()() [with Type = double]’ 1864 | nll += MVNORM(Sigmab_lv(klv))(b_lv.row(klv)); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block >, -1, 1, true>; VectorY = Eigen::Block >, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map >; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 323 | this->visit(minVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 496 | return minCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 563 | diag.segment(i,n-i).minCoeff(&k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, Eigen::Transpose >, 0>, 0> >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:381:102: required from ‘Type objective_function::operator()() [with Type = double]’ 381 | if(nlvr == (num_lv+num_lv_c)) nll -= Adiag.log().sum() - 0.5*((Atemp*Atemp.transpose()).trace()+(u.row(i)*u.row(i).transpose()).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, Eigen::Transpose >, 0>, 0> >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:381:102: required from ‘Type objective_function::operator()() [with Type = double]’ 381 | if(nlvr == (num_lv+num_lv_c)) nll -= Adiag.log().sum() - 0.5*((Atemp*Atemp.transpose()).trace()+(u.row(i)*u.row(i).transpose()).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::MatrixWrapper >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::MatrixWrapper >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::MatrixWrapper >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::MatrixWrapper >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::MatrixWrapper >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::MatrixWrapper >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:663:23: required from ‘Type objective_function::operator()() [with Type = double]’ 663 | cQ.col(j) += 0.5*(dr*Ar.matrix()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Rhs = Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>; XprType = Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ distrib.h:100:95: required from ‘tmbutils::matrix gllvm::corExp(Type, Type, int, tmbutils::matrix) [with Type = double]’ 100 | S(d,j)=s0*exp(-sqrt( (((dc.row(d)-dc.row(j))*alf)*(dc.row(d)-dc.row(j)).transpose()).sum() ) )*s0;// | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:686:33: required from ‘Type objective_function::operator()() [with Type = double]’ 686 | Sr = gllvm::corExp(sigma, Type(0), nr, dc_scaled); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Rhs = Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>; XprType = Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ distrib.h:100:95: required from ‘tmbutils::matrix gllvm::corExp(Type, Type, int, tmbutils::matrix) [with Type = double]’ 100 | S(d,j)=s0*exp(-sqrt( (((dc.row(d)-dc.row(j))*alf)*(dc.row(d)-dc.row(j)).transpose()).sum() ) )*s0;// | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:686:33: required from ‘Type objective_function::operator()() [with Type = double]’ 686 | Sr = gllvm::corExp(sigma, Type(0), nr, dc_scaled); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>; XprType = Eigen::Product, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ distrib.h:122:90: required from ‘tmbutils::matrix gllvm::corMatern(Type, Type, Type, int, tmbutils::matrix) [with Type = double]’ 122 | S(d,j)=s0*matern(sqrt(((dc.row(d)-dc.row(j))*(dc.row(d)-dc.row(j)).transpose()).sum()), phi, kappa)*s0; //old | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ gllvm.cpp:689:36: required from ‘Type objective_function::operator()() [with Type = double]’ 689 | Sr = gllvm::corMatern(sigma, Type(1), exp(log_sigma(dc.cols()+1)), nr, dc_scaled); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:710:23: required from ‘Type objective_function::operator()() [with Type = double]’ 710 | cQ.col(j) += 0.5*(dr*(Arm*Arm.transpose()).diagonal().matrix()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]’ 28 | result = matrix.partialPivLu().inverse(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:36:14: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ gllvm.cpp:596:20: required from ‘Type objective_function::operator()() [with Type = double]’ 596 | matrix S=sds*density::UNSTRUCTURED_CORR(sigmaij).cov()*sds; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ gllvm.cpp:596:20: required from ‘Type objective_function::operator()() [with Type = double]’ 596 | matrix S=sds*density::UNSTRUCTURED_CORR(sigmaij).cov()*sds; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ gllvm.cpp:596:20: required from ‘Type objective_function::operator()() [with Type = double]’ 596 | matrix S=sds*density::UNSTRUCTURED_CORR(sigmaij).cov()*sds; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ gllvm.cpp:596:20: required from ‘Type objective_function::operator()() [with Type = double]’ 596 | matrix S=sds*density::UNSTRUCTURED_CORR(sigmaij).cov()*sds; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1330:24: required from ‘Type objective_function::operator()() [with Type = double]’ 1330 | eta(i,j) -= x_lv.row(i)*b_lv2*D(j)*(x_lv.row(i)*b_lv2).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 217 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 231 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 231 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 232 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 233 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1906:24: required from ‘Type objective_function::operator()() [with Type = double]’ 1906 | eta(i,j) -= x_lv.row(i)*b_lv3*D_RR*(x_lv.row(i)*b_lv3).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:454:25: required from ‘Type objective_function::operator()() [with Type = double]’ 454 | Ab_lvcov(i) += x_lv(i,klv)*x_lv(i,klv)*AB_lv(klv)*AB_lv(klv).transpose();//cholesky of variance block for num_lv_c | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:454:25: required from ‘Type objective_function::operator()() [with Type = double]’ 454 | Ab_lvcov(i) += x_lv(i,klv)*x_lv(i,klv)*AB_lv(klv)*AB_lv(klv).transpose();//cholesky of variance block for num_lv_c | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:454:25: required from ‘Type objective_function::operator()() [with Type = double]’ 454 | Ab_lvcov(i) += x_lv(i,klv)*x_lv(i,klv)*AB_lv(klv)*AB_lv(klv).transpose();//cholesky of variance block for num_lv_c | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:454:25: required from ‘Type objective_function::operator()() [with Type = double]’ 454 | Ab_lvcov(i) += x_lv(i,klv)*x_lv(i,klv)*AB_lv(klv)*AB_lv(klv).transpose();//cholesky of variance block for num_lv_c | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:472:87: required from ‘Type objective_function::operator()() [with Type = double]’ 472 | cQ(i,j) += 0.5*(RRgamma.col(j).transpose()*Ab_lvcov(i)*RRgamma.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, -1, -1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:483:37: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | u.middleCols(1, num_lv_c) += x_lv*b_lv.leftCols(num_lv_c); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, -1, -1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:483:37: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | u.middleCols(1, num_lv_c) += x_lv*b_lv.leftCols(num_lv_c); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, true>; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, true>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, -1, -1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:483:37: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | u.middleCols(1, num_lv_c) += x_lv*b_lv.leftCols(num_lv_c); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, -1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, -1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, -1, -1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:483:37: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | u.middleCols(1, num_lv_c) += x_lv*b_lv.leftCols(num_lv_c); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:556:11: required from ‘Type objective_function::operator()() [with Type = double]’ 556 | eta += x_lv*b_lv.rightCols(num_RR)*RRgamma; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:556:11: required from ‘Type objective_function::operator()() [with Type = double]’ 556 | eta += x_lv*b_lv.rightCols(num_RR)*RRgamma; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Block, -1, -1, true>, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Block, -1, -1, true>, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:556:11: required from ‘Type objective_function::operator()() [with Type = double]’ 556 | eta += x_lv*b_lv.rightCols(num_RR)*RRgamma; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, true>, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, true>, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:556:11: required from ‘Type objective_function::operator()() [with Type = double]’ 556 | eta += x_lv*b_lv.rightCols(num_RR)*RRgamma; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ gllvm.cpp:596:20: required from ‘Type objective_function::operator()() [with Type = double]’ 596 | matrix S=sds*density::UNSTRUCTURED_CORR(sigmaij).cov()*sds; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ gllvm.cpp:596:20: required from ‘Type objective_function::operator()() [with Type = double]’ 596 | matrix S=sds*density::UNSTRUCTURED_CORR(sigmaij).cov()*sds; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:50:1: required from ‘const Eigen::CwiseBinaryOp::Scalar, typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type> Eigen::MatrixBase::operator*(const T&) const [with T = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type = Eigen::CwiseNullaryOp, const Eigen::Matrix >]’ 1368 | typename internal::plain_constant_type::type(derived().rows(), derived().cols(), internal::scalar_constant_op(scalar))); \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:829:42: required from ‘Type objective_function::operator()() [with Type = double]’ 829 | cQ.col(j) += 0.5*dLV.col(d)*((newlamCor.col(j).transpose()*(Alvm(d)*Alvm(d).transpose()))*newlamCor.col(j)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1206:95: required from ‘Type objective_function::operator()() [with Type = double]’ 1206 | cQ(i,j) += 0.5*(newlam.col(j).transpose()*A(i)*A(i).transpose()*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 289 | gebp_kernel(lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | blockA, blockB+j2*actual_kc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 291 | actual_mc, panelLength, actualPanelWidth, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 292 | Scalar(-1), | ~~~~~~~~~~~ 293 | actual_kc, actual_kc, // strides | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | panelOffset, panelOffset); // offsets | ~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | actualPanelWidth, actual_mc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 321 | actual_kc, j2); | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1395:160: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1398:207: required from ‘Type objective_function::operator()() [with Type = double]’ 1398 | cQ(i,j) += (2*x_lv.row(i)*b_lv2*D(j)*Acov*D(j)*(x_lv.row(i)*b_lv2).transpose() -2*x_lv.row(i)*b_lv2*D(j)*Acov*newlam.col(j)+4*u.row(i)*D(j)*Acov*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1398:207: required from ‘Type objective_function::operator()() [with Type = double]’ 1398 | cQ(i,j) += (2*x_lv.row(i)*b_lv2*D(j)*Acov*D(j)*(x_lv.row(i)*b_lv2).transpose() -2*x_lv.row(i)*b_lv2*D(j)*Acov*newlam.col(j)+4*u.row(i)*D(j)*Acov*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:16: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ^~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:16: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ^~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:454:25: required from ‘Type objective_function::operator()() [with Type = double]’ 454 | Ab_lvcov(i) += x_lv(i,klv)*x_lv(i,klv)*AB_lv(klv)*AB_lv(klv).transpose();//cholesky of variance block for num_lv_c | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]’ 469 | call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func); | ~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:454:25: required from ‘Type objective_function::operator()() [with Type = double]’ 454 | Ab_lvcov(i) += x_lv(i,klv)*x_lv(i,klv)*AB_lv(klv)*AB_lv(klv).transpose();//cholesky of variance block for num_lv_c | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:454:25: required from ‘Type objective_function::operator()() [with Type = double]’ 454 | Ab_lvcov(i) += x_lv(i,klv)*x_lv(i,klv)*AB_lv(klv)*AB_lv(klv).transpose();//cholesky of variance block for num_lv_c | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, true>, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, true>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, true>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, -1, -1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:483:37: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | u.middleCols(1, num_lv_c) += x_lv*b_lv.leftCols(num_lv_c); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, -1, -1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:483:37: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | u.middleCols(1, num_lv_c) += x_lv*b_lv.leftCols(num_lv_c); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:556:11: required from ‘Type objective_function::operator()() [with Type = double]’ 556 | eta += x_lv*b_lv.rightCols(num_RR)*RRgamma; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:556:11: required from ‘Type objective_function::operator()() [with Type = double]’ 556 | eta += x_lv*b_lv.rightCols(num_RR)*RRgamma; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Product, Eigen::Block, -1, 1, true>, 0>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:783:156: required from ‘Type objective_function::operator()() [with Type = double]’ 783 | nll -= atomic::logdet(Arm(i)) + 0.5*( - (SRI*Arm(i)*Arm(i).transpose()).trace()-((r0.col(i).matrix()).transpose()*(SRI*(r0.col(i).matrix()))).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:31:20: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]’ 785 | dense_assignment_loop::run(kernel); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:31:20: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:454:25: required from ‘Type objective_function::operator()() [with Type = double]’ 454 | Ab_lvcov(i) += x_lv(i,klv)*x_lv(i,klv)*AB_lv(klv)*AB_lv(klv).transpose();//cholesky of variance block for num_lv_c | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, -1, -1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:483:37: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | u.middleCols(1, num_lv_c) += x_lv*b_lv.leftCols(num_lv_c); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ gllvm.cpp:596:20: required from ‘Type objective_function::operator()() [with Type = double]’ 596 | matrix S=sds*density::UNSTRUCTURED_CORR(sigmaij).cov()*sds; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ gllvm.cpp:596:20: required from ‘Type objective_function::operator()() [with Type = double]’ 596 | matrix S=sds*density::UNSTRUCTURED_CORR(sigmaij).cov()*sds; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ gllvm.cpp:596:20: required from ‘Type objective_function::operator()() [with Type = double]’ 596 | matrix S=sds*density::UNSTRUCTURED_CORR(sigmaij).cov()*sds; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ gllvm.cpp:596:20: required from ‘Type objective_function::operator()() [with Type = double]’ 596 | matrix S=sds*density::UNSTRUCTURED_CORR(sigmaij).cov()*sds; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Solve, 1>, Eigen::Matrix >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:146:9: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 146 | Q = ldlt.solve(I); | ~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Solve, 1>, Eigen::Matrix >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:146:9: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 146 | Q = ldlt.solve(I); | ~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:454:25: required from ‘Type objective_function::operator()() [with Type = double]’ 454 | Ab_lvcov(i) += x_lv(i,klv)*x_lv(i,klv)*AB_lv(klv)*AB_lv(klv).transpose();//cholesky of variance block for num_lv_c | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:454:25: required from ‘Type objective_function::operator()() [with Type = double]’ 454 | Ab_lvcov(i) += x_lv(i,klv)*x_lv(i,klv)*AB_lv(klv)*AB_lv(klv).transpose();//cholesky of variance block for num_lv_c | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:454:25: required from ‘Type objective_function::operator()() [with Type = double]’ 454 | Ab_lvcov(i) += x_lv(i,klv)*x_lv(i,klv)*AB_lv(klv)*AB_lv(klv).transpose();//cholesky of variance block for num_lv_c | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, -1, -1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:483:37: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | u.middleCols(1, num_lv_c) += x_lv*b_lv.leftCols(num_lv_c); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, -1, -1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:483:37: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | u.middleCols(1, num_lv_c) += x_lv*b_lv.leftCols(num_lv_c); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Block, -1, -1, true>, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:556:11: required from ‘Type objective_function::operator()() [with Type = double]’ 556 | eta += x_lv*b_lv.rightCols(num_RR)*RRgamma; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:556:11: required from ‘Type objective_function::operator()() [with Type = double]’ 556 | eta += x_lv*b_lv.rightCols(num_RR)*RRgamma; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:556:11: required from ‘Type objective_function::operator()() [with Type = double]’ 556 | eta += x_lv*b_lv.rightCols(num_RR)*RRgamma; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:556:11: required from ‘Type objective_function::operator()() [with Type = double]’ 556 | eta += x_lv*b_lv.rightCols(num_RR)*RRgamma; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:663:23: required from ‘Type objective_function::operator()() [with Type = double]’ 663 | cQ.col(j) += 0.5*(dr*Ar.matrix()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 0>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 0>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 0>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 0>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 0>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:710:23: required from ‘Type objective_function::operator()() [with Type = double]’ 710 | cQ.col(j) += 0.5*(dr*(Arm*Arm.transpose()).diagonal().matrix()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 40 | general_matrix_matrix_product | ~~~~~~~~~~~~~~~~~~~~~~~~ 44 | ::run(cols,rows,depth,rhs,rhsStride,lhs,lhsStride,res,resIncr,resStride,alpha,blocking,info); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false>, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false>, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, -1, false>, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, -1, false>, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, -1, false>, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, -1, false> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, -1, false>, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, 1, true>, -1, -1, false>; Rhs = Eigen::Transpose, -1, 1, true>, -1, -1, false> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, 1, true>, -1, -1, false>; Rhs = Eigen::Transpose, -1, 1, true>, -1, -1, false> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, -1, 1, true>, -1, -1, false>; Rhs = Eigen::Transpose, -1, 1, true>, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, -1, false> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, -1, false>, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, 1, true>, -1, -1, false>; Rhs = Eigen::Transpose, -1, 1, true>, -1, -1, false> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, 1, true>, -1, -1, false>; Rhs = Eigen::Transpose, -1, 1, true>, -1, -1, false> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, -1, false>, 1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, 1, true>, -1, -1, false>; Rhs = Eigen::Transpose, -1, 1, true>, -1, -1, false> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, 1, true>, -1, -1, false>; Rhs = Eigen::Transpose, -1, 1, true>, -1, -1, false> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:16: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ^~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:16: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ^~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:2003:22: required from ‘Type objective_function::operator()() [with Type = double]’ 2003 | eta.col(j) = eta.col(j) + dr*r0; | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:2003:22: required from ‘Type objective_function::operator()() [with Type = double]’ 2003 | eta.col(j) = eta.col(j) + dr*r0; | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:56:20: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ gllvm.cpp:596:20: required from ‘Type objective_function::operator()() [with Type = double]’ 596 | matrix S=sds*density::UNSTRUCTURED_CORR(sigmaij).cov()*sds; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map >; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU::Scalar = double]’ 587 | dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Inverse > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:473:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 486 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:613:24: required from ‘tmbutils::matrix atomic::matinv(tmbutils::matrix) [with Type = double]’ 613 | return vec2mat(matinv(mat2vec(x)),n,n); | ~~~~~~^~~~~~~~~~~~ gllvm.cpp:626:40: required from ‘Type objective_function::operator()() [with Type = double]’ 626 | matrix SI = atomic::matinv(S); | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1398:207: required from ‘Type objective_function::operator()() [with Type = double]’ 1398 | cQ(i,j) += (2*x_lv.row(i)*b_lv2*D(j)*Acov*D(j)*(x_lv.row(i)*b_lv2).transpose() -2*x_lv.row(i)*b_lv2*D(j)*Acov*newlam.col(j)+4*u.row(i)*D(j)*Acov*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Transpose > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, true>, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, 1, -1, true>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Transpose > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Map >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, true>, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Map >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:337: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 274 | evaluator rhsEval(rhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:454:25: required from ‘Type objective_function::operator()() [with Type = double]’ 454 | Ab_lvcov(i) += x_lv(i,klv)*x_lv(i,klv)*AB_lv(klv)*AB_lv(klv).transpose();//cholesky of variance block for num_lv_c | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, -1, -1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:483:37: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | u.middleCols(1, num_lv_c) += x_lv*b_lv.leftCols(num_lv_c); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:556:11: required from ‘Type objective_function::operator()() [with Type = double]’ 556 | eta += x_lv*b_lv.rightCols(num_RR)*RRgamma; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:663:23: required from ‘Type objective_function::operator()() [with Type = double]’ 663 | cQ.col(j) += 0.5*(dr*Ar.matrix()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, Eigen::Transpose >, 0>, 0>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, Eigen::Transpose >, 0>, 0>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, Eigen::Transpose >, 0>, 0>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, Eigen::Transpose >, 0>, 0>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, Eigen::Transpose >, 0>, 0>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, Eigen::Transpose >, 0>, 0>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:710:23: required from ‘Type objective_function::operator()() [with Type = double]’ 710 | cQ.col(j) += 0.5*(dr*(Arm*Arm.transpose()).diagonal().matrix()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Matrix]’ 455 | scaleAndAddTo(dst,lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1371:21: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1371:21: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1371:21: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>; Rhs = Eigen::Matrix]’ 455 | scaleAndAddTo(dst,lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1371:21: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/convenience.hpp:43:12: required from ‘tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]’ 43 | return A * x.matrix(); | ~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:153:28: required from ‘density::MVNORM_t::scalartype density::MVNORM_t::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 153 | return (x*(vectortype(Q*x))).sum(); | ~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:157:53: required from ‘density::MVNORM_t::scalartype density::MVNORM_t::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 157 | return -scalartype(.5)*logdetQ + scalartype(.5)*Quadform(x) + x.size()*scalartype(log(sqrt(2.0*M_PI))); | ^~~~~~~~ gllvm.cpp:1864:40: required from ‘Type objective_function::operator()() [with Type = double]’ 1864 | nll += MVNORM(Sigmab_lv(klv))(b_lv.row(klv)); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:2003:22: required from ‘Type objective_function::operator()() [with Type = double]’ 2003 | eta.col(j) = eta.col(j) + dr*r0; | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:166: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ 89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, -1, -1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:483:37: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | u.middleCols(1, num_lv_c) += x_lv*b_lv.leftCols(num_lv_c); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:975:25: required from ‘Type objective_function::operator()() [with Type = double]’ 975 | cQ.col(j) += 0.5*(dLV*Alvm.diagonal())*((newlamCor.col(j).transpose()*AQ)*newlamCor.col(j)); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1371:21: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1371:21: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:283:19: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 283 | this->setSigma(Sigma); /* Call MVNORM_t initializer */ | ~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1926:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1926 | density::UNSTRUCTURED_CORR_t neg_log_MVN(sigmaij); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:2003:22: required from ‘Type objective_function::operator()() [with Type = double]’ 2003 | eta.col(j) = eta.col(j) + dr*r0; | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:89:20: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1040 | SparseMatrix trMat(mat.rows(),mat.cols()); | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:306:24: required from ‘Eigen::SparseMatrix newton::jacobian_sparse_t::as_matrix(const V&) [with V = std::vector >; Factorization = Eigen::SimplicialLLT >; typename V::value_type = double]’ 306 | mat.setFromTriplets(tripletList.begin(), tripletList.end()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:272:59: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:825:45: required from ‘newton::NewtonOperator::NewtonOperator(Functor&, newton::vector, newton::newton_config) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_t<>]’ 825 | hessian = std::make_shared(function, gradient, n_inner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1279:46: required from ‘newton::NewtonSolver::NewtonSolver(Functor&, newton::vector, newton::newton_config) [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t<>]’ 1279 | Base(F, start, cfg), n(start.size()), F(F) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1316:53: required from ‘newton::NewtonSolver > newton::NewtonSparse(Functor&, Eigen::Array, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1316 | NewtonSolver > ans(F, start, cfg); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1387:30: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1387 | auto opt = NewtonSparse(F, start, cfg); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1428:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1428 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1436:63: required from here 1438 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:663:23: required from ‘Type objective_function::operator()() [with Type = double]’ 663 | cQ.col(j) += 0.5*(dr*Ar.matrix()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 0>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 0>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, Eigen::Transpose >, 0>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, Eigen::Transpose >, 0>, 0>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, Eigen::Transpose >, 0>, 0>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, Eigen::Transpose >, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, Eigen::Transpose >, 0>, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:710:23: required from ‘Type objective_function::operator()() [with Type = double]’ 710 | cQ.col(j) += 0.5*(dr*(Arm*Arm.transpose()).diagonal().matrix()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Array, const Eigen::Array > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Array, const Eigen::Array > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Array, const Eigen::Array > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Array, const Eigen::Array > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:883:29: required from ‘Type objective_function::operator()() [with Type = double]’ 883 | cQ.col(j) = cQ.col(j) + 0.5*pow(newlamCor(q,j),2)*(dLV*(Atemp.array()*Atemp.array()).matrix()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1371:21: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1371:21: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1371:21: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1383:31: required from ‘Type objective_function::operator()() [with Type = double]’ 1383 | BiQL = BiQ.llt().matrixL(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1063 | mat = trMat; | ~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:306:24: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:825:45: required from ‘newton::NewtonOperator::NewtonOperator(Functor&, newton::vector, newton::newton_config) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_t<>]’ 825 | hessian = std::make_shared(function, gradient, n_inner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1279:46: required from ‘newton::NewtonSolver::NewtonSolver(Functor&, newton::vector, newton::newton_config) [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t<>]’ 1279 | Base(F, start, cfg), n(start.size()), F(F) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1316:53: required from ‘newton::NewtonSolver > newton::NewtonSparse(Functor&, Eigen::Array, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1316 | NewtonSolver > ans(F, start, cfg); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1387:30: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1387 | auto opt = NewtonSparse(F, start, cfg); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1428:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1428 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1436:63: required from here 1438 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; XprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:715:109: required from ‘Type objective_function::operator()() [with Type = double]’ 715 | nll -= ArmDiag.log().sum()- 0.5*((SRI*(Arm*Arm.transpose())).trace()+(r0.transpose()*(SRI*r0)).sum());// /(n*p)log(det(Ar_i))-sum(trace(Sr^(-1)Ar_i))*0.5 + ar_i*(Sr^(-1))*ar_i | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, 0>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:975:25: required from ‘Type objective_function::operator()() [with Type = double]’ 975 | cQ.col(j) += 0.5*(dLV*Alvm.diagonal())*((newlamCor.col(j).transpose()*AQ)*newlamCor.col(j)); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1371:21: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1371:21: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1371:21: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1> >, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:783:156: required from ‘Type objective_function::operator()() [with Type = double]’ 783 | nll -= atomic::logdet(Arm(i)) + 0.5*( - (SRI*Arm(i)*Arm(i).transpose()).trace()-((r0.col(i).matrix()).transpose()*(SRI*(r0.col(i).matrix()))).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, const Eigen::Array, const Eigen::Array > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, const Eigen::Array, const Eigen::Array > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, const Eigen::Array, const Eigen::Array > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, const Eigen::Array, const Eigen::Array > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, const Eigen::Array, const Eigen::Array > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, const Eigen::Array, const Eigen::Array > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:883:29: required from ‘Type objective_function::operator()() [with Type = double]’ 883 | cQ.col(j) = cQ.col(j) + 0.5*pow(newlamCor(q,j),2)*(dLV*(Atemp.array()*Atemp.array()).matrix()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, -1, false> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, -1, false> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, -1, false> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, 1, true>, -1, -1, false>; Rhs = Eigen::Transpose, -1, 1, true>, -1, -1, false> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, 1, true>, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, 1, true>, -1, -1, false> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Inverse > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:473:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 486 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:613:24: required from ‘tmbutils::matrix atomic::matinv(tmbutils::matrix) [with Type = double]’ 613 | return vec2mat(matinv(mat2vec(x)),n,n); | ~~~~~~^~~~~~~~~~~~ gllvm.cpp:626:40: required from ‘Type objective_function::operator()() [with Type = double]’ 626 | matrix SI = atomic::matinv(S); | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Diagonal, 0>, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:975:25: required from ‘Type objective_function::operator()() [with Type = double]’ 975 | cQ.col(j) += 0.5*(dLV*Alvm.diagonal())*((newlamCor.col(j).transpose()*AQ)*newlamCor.col(j)); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, -1, false>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, -1, false>, 1, -1, false>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1371:21: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1906:24: required from ‘Type objective_function::operator()() [with Type = double]’ 1906 | eta(i,j) -= x_lv.row(i)*b_lv3*D_RR*(x_lv.row(i)*b_lv3).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:2003:22: required from ‘Type objective_function::operator()() [with Type = double]’ 2003 | eta.col(j) = eta.col(j) + dr*r0; | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ gllvm.cpp:387:46: required from ‘Type objective_function::operator()() [with Type = double]’ 387 | nll -= 0.5*(nlvr - log(Cu.determinant())*random(0)); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:472:87: required from ‘Type objective_function::operator()() [with Type = double]’ 472 | cQ(i,j) += 0.5*(RRgamma.col(j).transpose()*Ab_lvcov(i)*RRgamma.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:783:156: required from ‘Type objective_function::operator()() [with Type = double]’ 783 | nll -= atomic::logdet(Arm(i)) + 0.5*( - (SRI*Arm(i)*Arm(i).transpose()).trace()-((r0.col(i).matrix()).transpose()*(SRI*(r0.col(i).matrix()))).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:50:1: required from ‘const Eigen::CwiseBinaryOp::Scalar, typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type> Eigen::MatrixBase::operator*(const T&) const [with T = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type = Eigen::CwiseNullaryOp, const Eigen::Matrix >]’ 1368 | typename internal::plain_constant_type::type(derived().rows(), derived().cols(), internal::scalar_constant_op(scalar))); \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:829:42: required from ‘Type objective_function::operator()() [with Type = double]’ 829 | cQ.col(j) += 0.5*dLV.col(d)*((newlamCor.col(j).transpose()*(Alvm(d)*Alvm(d).transpose()))*newlamCor.col(j)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::Array > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::Array > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, const Eigen::Array, const Eigen::Array > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, const Eigen::Array, const Eigen::Array > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, const Eigen::Array, const Eigen::Array > >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, const Eigen::Array, const Eigen::Array > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::MatrixWrapper, const Eigen::Array, const Eigen::Array > >, 0> > >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:883:29: required from ‘Type objective_function::operator()() [with Type = double]’ 883 | cQ.col(j) = cQ.col(j) + 0.5*pow(newlamCor(q,j),2)*(dLV*(Atemp.array()*Atemp.array()).matrix()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1071:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1071 | Alvmblock = Alvm(q).block(i*times,i*times,times,times)*Alvm(q).block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, -1, false> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1206:95: required from ‘Type objective_function::operator()() [with Type = double]’ 1206 | cQ(i,j) += 0.5*(newlam.col(j).transpose()*A(i)*A(i).transpose()*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1395:160: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1073:103: required from ‘Type objective_function::operator()() [with Type = double]’ 1073 | nll -= 0.5*(- (Slvinv*Alvmblock).trace()-(ucopyblock.transpose()*Slvinv*ucopyblock).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1330:24: required from ‘Type objective_function::operator()() [with Type = double]’ 1330 | eta(i,j) -= x_lv.row(i)*b_lv2*D(j)*(x_lv.row(i)*b_lv2).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1371:21: required from ‘Type objective_function::operator()() [with Type = double]’ 1371 | BiQ = Id+2*sign*D(j)*Cinv*Acov;//Q*Binv | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1906:24: required from ‘Type objective_function::operator()() [with Type = double]’ 1906 | eta(i,j) -= x_lv.row(i)*b_lv3*D_RR*(x_lv.row(i)*b_lv3).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1906:24: required from ‘Type objective_function::operator()() [with Type = double]’ 1906 | eta(i,j) -= x_lv.row(i)*b_lv3*D_RR*(x_lv.row(i)*b_lv3).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:472:87: required from ‘Type objective_function::operator()() [with Type = double]’ 472 | cQ(i,j) += 0.5*(RRgamma.col(j).transpose()*Ab_lvcov(i)*RRgamma.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:472:87: required from ‘Type objective_function::operator()() [with Type = double]’ 472 | cQ(i,j) += 0.5*(RRgamma.col(j).transpose()*Ab_lvcov(i)*RRgamma.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:472:87: required from ‘Type objective_function::operator()() [with Type = double]’ 472 | cQ(i,j) += 0.5*(RRgamma.col(j).transpose()*Ab_lvcov(i)*RRgamma.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:472:87: required from ‘Type objective_function::operator()() [with Type = double]’ 472 | cQ(i,j) += 0.5*(RRgamma.col(j).transpose()*Ab_lvcov(i)*RRgamma.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:783:156: required from ‘Type objective_function::operator()() [with Type = double]’ 783 | nll -= atomic::logdet(Arm(i)) + 0.5*( - (SRI*Arm(i)*Arm(i).transpose()).trace()-((r0.col(i).matrix()).transpose()*(SRI*(r0.col(i).matrix()))).sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:50:1: required from ‘const Eigen::CwiseBinaryOp::Scalar, typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type> Eigen::MatrixBase::operator*(const T&) const [with T = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type = Eigen::CwiseNullaryOp, const Eigen::Matrix >]’ 1368 | typename internal::plain_constant_type::type(derived().rows(), derived().cols(), internal::scalar_constant_op(scalar))); \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:829:42: required from ‘Type objective_function::operator()() [with Type = double]’ 829 | cQ.col(j) += 0.5*dLV.col(d)*((newlamCor.col(j).transpose()*(Alvm(d)*Alvm(d).transpose()))*newlamCor.col(j)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, -1, false> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, 1, true>, -1, -1, false>; Rhs = Eigen::Transpose, -1, 1, true>, -1, -1, false> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, 1, true>, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, 1, true>, -1, -1, false> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Product, -1, 1, true>, -1, -1, false>, Eigen::Transpose, -1, 1, true>, -1, -1, false> >, 0>; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1157:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1157 | Alvmblock = Alvm.col(q).matrix().block(i*times,i*times,times,times)*Alvm.col(q).matrix().block(i*times,i*times,times,times).transpose(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1206:95: required from ‘Type objective_function::operator()() [with Type = double]’ 1206 | cQ(i,j) += 0.5*(newlam.col(j).transpose()*A(i)*A(i).transpose()*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1206:95: required from ‘Type objective_function::operator()() [with Type = double]’ 1206 | cQ(i,j) += 0.5*(newlam.col(j).transpose()*A(i)*A(i).transpose()*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1395:160: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1395:160: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:460:103: required from ‘Type objective_function::operator()() [with Type = double]’ 460 | Ab_lvcov(i)(q,q) = (x_lv.row(i)*AB_lv(q)*AB_lv(q).transpose()*x_lv.row(i).transpose()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1906:24: required from ‘Type objective_function::operator()() [with Type = double]’ 1906 | eta(i,j) -= x_lv.row(i)*b_lv3*D_RR*(x_lv.row(i)*b_lv3).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator > >, Eigen::Map >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:168:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 168 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2510:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2510 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:76:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 76 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:472:87: required from ‘Type objective_function::operator()() [with Type = double]’ 472 | cQ(i,j) += 0.5*(RRgamma.col(j).transpose()*Ab_lvcov(i)*RRgamma.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:50:1: required from ‘const Eigen::CwiseBinaryOp::Scalar, typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type> Eigen::MatrixBase::operator*(const T&) const [with T = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type = Eigen::CwiseNullaryOp, const Eigen::Matrix >]’ 1368 | typename internal::plain_constant_type::type(derived().rows(), derived().cols(), internal::scalar_constant_op(scalar))); \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:829:42: required from ‘Type objective_function::operator()() [with Type = double]’ 829 | cQ.col(j) += 0.5*dLV.col(d)*((newlamCor.col(j).transpose()*(Alvm(d)*Alvm(d).transpose()))*newlamCor.col(j)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1206:95: required from ‘Type objective_function::operator()() [with Type = double]’ 1206 | cQ(i,j) += 0.5*(newlam.col(j).transpose()*A(i)*A(i).transpose()*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1395:160: required from ‘Type objective_function::operator()() [with Type = double]’ 1395 | cQ(i,j) += (D(j)*Acov*D(j)*Acov).trace() +2*(u.row(i)*D(j)*Acov*D(j)*u.row(i).transpose()).value() - 2*(u.row(i)*D(j)*Acov*newlam.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, true>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Block, -1, -1, true>, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:581:24: required from ‘Type objective_function::operator()() [with Type = double]’ 581 | eta(i,j) -= x_lv.row(i)*b_lv.rightCols(num_RR)*D_RR*(x_lv.row(i)*b_lv.rightCols(num_RR)).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>, Eigen::Matrix, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:1906:24: required from ‘Type objective_function::operator()() [with Type = double]’ 1906 | eta(i,j) -= x_lv.row(i)*b_lv3*D_RR*(x_lv.row(i)*b_lv3).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:472:87: required from ‘Type objective_function::operator()() [with Type = double]’ 472 | cQ(i,j) += 0.5*(RRgamma.col(j).transpose()*Ab_lvcov(i)*RRgamma.col(j)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Inverse > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:473:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 486 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:613:24: required from ‘tmbutils::matrix atomic::matinv(tmbutils::matrix) [with Type = double]’ 613 | return vec2mat(matinv(mat2vec(x)),n,n); | ~~~~~~^~~~~~~~~~~~ gllvm.cpp:626:40: required from ‘Type objective_function::operator()() [with Type = double]’ 626 | matrix SI = atomic::matinv(S); | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Inverse > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:473:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 486 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:613:24: required from ‘tmbutils::matrix atomic::matinv(tmbutils::matrix) [with Type = double]’ 613 | return vec2mat(matinv(mat2vec(x)),n,n); | ~~~~~~^~~~~~~~~~~~ gllvm.cpp:626:40: required from ‘Type objective_function::operator()() [with Type = double]’ 626 | matrix SI = atomic::matinv(S); | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Transpose >, 0>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:50:1: required from ‘const Eigen::CwiseBinaryOp::Scalar, typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type> Eigen::MatrixBase::operator*(const T&) const [with T = Eigen::Product, -1, 1, true> >, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type = Eigen::CwiseNullaryOp, const Eigen::Matrix >]’ 1368 | typename internal::plain_constant_type::type(derived().rows(), derived().cols(), internal::scalar_constant_op(scalar))); \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gllvm.cpp:829:42: required from ‘Type objective_function::operator()() [with Type = double]’ 829 | cQ.col(j) += 0.5*dLV.col(d)*((newlamCor.col(j).transpose()*(Alvm(d)*Alvm(d).transpose()))*newlamCor.col(j)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]’ 469 | call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func); | ~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0> >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ gllvm.cpp:1370:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1370 | Binv = Acov+2*sign*Cinv*Acov*D(j)*Acov; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Inverse > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:473:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 486 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:613:24: required from ‘tmbutils::matrix atomic::matinv(tmbutils::matrix) [with Type = double]’ 613 | return vec2mat(matinv(mat2vec(x)),n,n); | ~~~~~~^~~~~~~~~~~~ gllvm.cpp:626:40: required from ‘Type objective_function::operator()() [with Type = double]’ 626 | matrix SI = atomic::matinv(S); | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Inverse > >]’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:473:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 486 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:613:24: required from ‘tmbutils::matrix atomic::matinv(tmbutils::matrix) [with Type = double]’ 613 | return vec2mat(matinv(mat2vec(x)),n,n); | ~~~~~~^~~~~~~~~~~~ gllvm.cpp:626:40: required from ‘Type objective_function::operator()() [with Type = double]’ 626 | matrix SI = atomic::matinv(S); | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1378:205: required from ‘Type objective_function::operator()() [with Type = double]’ 1378 | vBinvv += (-4*x_lv.row(i)*b_lv2*D(j)*Binv*newlam.col(j)+4*sign*u.row(i)*BiQ*D(j)*(x_lv.row(i)*b_lv2).transpose()+4*x_lv.row(i)*b_lv2*D(j)*Binv*D(j)*(x_lv.row(i)*b_lv2).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 758 | explicit binary_evaluator(const XprType& xpr) : m_d(xpr) | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>; Rhs = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >]’ 729 | explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 101 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, true> > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::DiagonalMatrix, 1>, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::DiagonalMatrix, 1>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ gllvm.cpp:1374:172: required from ‘Type objective_function::operator()() [with Type = double]’ 1374 | vBinvv = (2*newlam.col(j).transpose()*Cinv*Acov*D(j)*(sign*Acov*newlam.col(j)-2*u.row(i).transpose())+2*sign*u.row(i)*D(j)*Cinv*u.row(i).transpose()).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2031:7: required from here 2031 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from ‘void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]’ 211 | Eigen::Matrix w; \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from ‘void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]’ 214 | Eigen::Matrix ty; \ | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from ‘void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from ‘void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 0; int ninput = 2; int noutput = 1; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<0, 2, 1, 9>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1030:20: required from ‘void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1030 | vector w2 = - hessian -> solve(hessian, hv, w); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1032:36: required from ‘void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1032 | args.dx_segment(0, n) += g.tail(n); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:528:1: required from ‘void atomic::invpdOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]’ 556 | matrix res=-matmul(Yt,tmp); // -f2(X)^T*W2*f2(X)^T | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::invpdOp<>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/atomic_math.hpp:528:1: required from ‘void atomic::invpdOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]’ 557 | res = res + Y*W1; | ~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::invpdOp<>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:84:17: required from ‘newton::vector::vector(const std::vector&) [with Type = double]’ 84 | Base(Eigen::Map (x.data(), x.size())) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1013:20: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1013 | vector sol = function.DomainVec(); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:11: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:130:40: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t<>]’ 130 | matrix xm = x.matrix(); | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:150:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t<>]’ 150 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:919:51: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 919 | vector diag_cpy = H.diagonal().array(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:603:15: required from ‘newton::vector newton::jacobian_sparse_plus_lowrank_t::solve(std::shared_ptr >, const newton::vector&, const newton::vector&) [with T = double; dummy = void]’ 603 | return y1 - y2; | ~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1030:38: required from ‘void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1030 | vector w2 = - hessian -> solve(hessian, hv, w); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/simplicial_inverse_subset.hpp:152:11: required from ‘Eigen::SimplicialInverseSubset::SpMat Eigen::SimplicialInverseSubset::operator()(SpMat) [with T = double; SpMat = Eigen::SparseMatrix]’ 152 | x = x * 0; | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1152:18: required from ‘void newton::LogDetOperator::reverse(TMBad::ReverseArgs&) [with Factorization = Eigen::SimplicialLLT >]’ 1152 | ih = ihessian(ih); | ~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::LogDetOperator<>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:236:22: required from ‘newton::matrix newton::jacobian_dense_t::llt_solve(const newton::matrix&, const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 236 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:339:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]’ 339 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:132:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t<>]’ 132 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:150:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t<>]’ 150 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:38: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:74: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:52: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator[](Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 164 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:233:46: required from ‘TMBad::segment_ref& TMBad::segment_ref::operator+=(const Other&) [with Other = Eigen::VectorBlock, -1>; Args = TMBad::ReverseArgs; TMBad::ArrayAccess What = TMBad::dx_write]’ 233 | element_access(args, from + i) += other[i]; | ~~~~~^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1032:27: required from ‘void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1032 | args.dx_segment(0, n) += g.tail(n); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from ‘void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from ‘void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 0; int ninput = 2; int noutput = 1; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<0, 2, 1, 9>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:897:36: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 897 | Scalar mgc = g.abs().maxCoeff(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:173:20: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:339:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]’ 339 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:132:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t<>]’ 132 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:150:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t<>]’ 150 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ 278 | typedef typename DiagonalVectorType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:339:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]’ 339 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:132:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t<>]’ 132 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:150:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t<>]’ 150 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:339:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]’ 339 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:132:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t<>]’ 132 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:150:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t<>]’ 150 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT >]’ 184 | derived().matrixU().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:339:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]’ 339 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:132:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t<>]’ 132 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:150:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t<>]’ 150 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:565:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 565 | matrix H0M = h.H0 * h.G.transpose() * W; | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:568:27: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with dummy = void]’ 568 | matrix y2 = W * H0M.ldlt().solve(h.H0 * W.transpose() * x); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:940:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 940 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1014:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1014 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1717:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1717 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2133:10: required from here 2133 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:70:1: required from ‘void atomic::log_dnbinom_robustOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 3; int noutput = 4; long int mask = 9]’ 214 | Eigen::Matrix ty; \ | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::log_dnbinom_robustOp<2, 3, 4, 9>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:70:1: required from ‘void atomic::log_dnbinom_robustOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 3; int noutput = 4; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::log_dnbinom_robustOp<2, 3, 4, 9>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:222:57: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 222 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:163:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 163 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:222:35: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 222 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:163:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 163 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, Eigen::Transpose > >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:222:67: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 222 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:163:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 163 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:70:1: required from ‘void atomic::log_dnbinom_robustOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 3; int noutput = 4; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::log_dnbinom_robustOp<2, 3, 4, 9>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper >; Rhs = Eigen::Transpose > >; Func = generic_product_impl >, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:93:54: required from ‘newton::matrix::matrix(const Eigen::ArrayBase&) [with Derived = Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >; Type = double]’ 93 | matrix(const Eigen::ArrayBase &x) : Base(x) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:222:15: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 222 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:163:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 163 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from ‘void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]’ 214 | Eigen::Matrix ty; \ | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<3, 2, 8, 9>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from ‘void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<3, 2, 8, 9>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from ‘void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1721:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1721 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<3, 2, 8, 9>]’ 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2134:10: required from here 2134 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o gllvm.so gllvm.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpgExBmQ/R.INSTALL2d3986ddc81a4/gllvm/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-gllvm/00new/gllvm/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gllvm) * installing *source* package ‘RNiftyReg’ ... ** package ‘RNiftyReg’ successfully unpacked and MD5 sums checked ** using staged installation checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C++ compiler... yes checking whether g++-14 -std=gnu++17 accepts -g... yes checking for OpenMP flag of C++ compiler... -fopenmp configure: creating ./config.status config.status: creating src/Makevars ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpkOmpjp/R.INSTALL2d32201496739d/RNiftyReg/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c main.cpp -o main.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from main.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ main.cpp:51:69: required from here 51 | AffineMatrix affine(normalisedSourceImage, normalisedTargetImage); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ main.cpp:51:69: required from here 51 | AffineMatrix affine(normalisedSourceImage, normalisedTargetImage); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ main.cpp:421:31: required from here 421 | Eigen::Vector2d start(Rf_fround((targetImage->dim[1]-1.0) / 2.0, 0), Rf_fround((targetImage->dim[2]-1.0) / 2.0, 0)); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ main.cpp:421:31: required from here 421 | Eigen::Vector2d start(Rf_fround((targetImage->dim[1]-1.0) / 2.0, 0), Rf_fround((targetImage->dim[2]-1.0) / 2.0, 0)); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ main.cpp:441:31: required from here 441 | Eigen::Vector3d start(Rf_fround((targetImage->dim[1]-1.0) / 2.0, 0), Rf_fround((targetImage->dim[2]-1.0) / 2.0, 0), Rf_fround((targetImage->dim[3]-1.0) / 2.0, 0)); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ main.cpp:441:31: required from here 441 | Eigen::Vector3d start(Rf_fround((targetImage->dim[1]-1.0) / 2.0, 0), Rf_fround((targetImage->dim[2]-1.0) / 2.0, 0), Rf_fround((targetImage->dim[3]-1.0) / 2.0, 0)); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:309:34: required from ‘class Eigen::MatrixLogarithmReturnValue >’ 309 | template class MatrixLogarithmReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~ main.cpp:475:29: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ main.cpp:475:34: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ main.cpp:475:34: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:396:35: required from ‘struct Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 396 | template struct MatrixExponentialReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ main.cpp:475:42: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:361:24: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 361 | MatrixType numer = U + V; | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:22: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 362 | MatrixType denom = -U + V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:25: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 362 | MatrixType denom = -U + V; | ~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:363:38: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 363 | result = denom.partialPivLu().solve(numer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:59: required from ‘static void Eigen::internal::matrix_exp_computeUV::run(const ArgType&, MatrixType&, MatrixType&, int&) [with ArgType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 243 | const RealScalar l1norm = arg.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 360 | matrix_exp_computeUV::run(arg, U, V, squarings); // Pade approximant is (U+V) / (-U+V) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:257:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:31: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:65: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:43: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:36: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:36: required from ‘void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 89 | const MatrixType tmp = b[5] * A4 + b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:48: required from ‘void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 89 | const MatrixType tmp = b[5] * A4 + b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:108:48: required from ‘void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 108 | const MatrixType tmp = b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:109:5: required from ‘void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 108 | const MatrixType tmp = b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:131:60: required from ‘void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 131 | const MatrixType tmp = b[9] * A8 + b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:132:5: required from ‘void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 131 | const MatrixType tmp = b[9] * A8 + b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 132 | + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 126 | Index pb_max_threads = std::max(1,size / Functor::Traits::nr); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:278:57: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 104 | pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 115 | pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 133 | gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 274 | evaluator rhsEval(rhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:85: required from ‘void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1>]’ 245 | RealScalar normTminusI = (T - MatrixType::Identity(T.rows(), T.rows())).cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:101: required from ‘void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1>]’ 245 | RealScalar normTminusI = (T - MatrixType::Identity(T.rows(), T.rows())).cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27: required from ‘MatrixType Eigen::internal::MatrixLogarithmAtomic::compute(const MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1>]’ 291 | matrix_log_compute_big(A, result); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h:247:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, 2, 2> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, 2, 2> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, 2, 2> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, 2, 2>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Matrix, 2, 2> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:293:32: required from ‘Eigen::ComplexSchur<_MatrixType>::ComplexScalar Eigen::ComplexSchur<_MatrixType>::computeShift(Index, Index) [with _MatrixType = Eigen::Matrix, -1, -1>; ComplexScalar = std::complex; Index = long int]’ 293 | RealScalar normt = t.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:434:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = std::complex]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, false, 1, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, long int, general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Matrix, -1, -1>, gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false> >; Index = long int]’ 126 | Index pb_max_threads = std::max(1,size / Functor::Traits::nr); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Scalar = std::complex]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; int Options = 0; Scalar = std::complex; SrcXprType = Eigen::Product, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix, -1, -1>; Src = Eigen::Product, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, 0>; Func = assign_op, std::complex >]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, false, 1, 1>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = std::complex; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, long int, general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Matrix, -1, -1>, gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Scalar = std::complex]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, false, 1, 2>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = std::complex; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, long int, general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Matrix, -1, -1>, gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Scalar = std::complex]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = std::complex; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex]’ 133 | gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, long int, general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Matrix, -1, -1>, gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Scalar = std::complex]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::unpacket_traits >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = std::complex; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex]’ 133 | gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, long int, general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Matrix, -1, -1>, gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Scalar = std::complex]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:746:64: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 746 | typedef DoublePacket::half> half; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1501 | traits.loadLhs(&blA[(0 + 3 * K) * LhsProgress], A0); \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = std::complex; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex]’ 133 | gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, long int, general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Matrix, -1, -1>, gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Scalar = std::complex]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1896 | p(res, blockA, blockB, alpha, peeled_mc1, peeled_mc_half, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = std::complex; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex]’ 133 | gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1902 | p(res, blockA, blockB, alpha, peeled_mc_half, peeled_mc_quarter, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = std::complex; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex]’ 133 | gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, true, 1, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1063:38: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, true>’ 1063 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; Derived = Eigen::internal::generic_product_impl, -1, -1>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, true, false, 1, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1074:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, true>’ 1074 | typedef typename SwappedTraits::ResScalar SResScalar; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; Derived = Eigen::internal::generic_product_impl, -1, -1>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, true, 1, 1>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, true>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; Derived = Eigen::internal::generic_product_impl, -1, -1>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, true, 1, 2>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, true>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; Derived = Eigen::internal::generic_product_impl, -1, -1>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; Derived = Eigen::internal::generic_product_impl, -1, -1>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; Derived = Eigen::internal::generic_product_impl, -1, -1>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’ 1501 | traits.loadLhs(&blA[(0 + 3 * K) * LhsProgress], A0); \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; Derived = Eigen::internal::generic_product_impl, -1, -1>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, true, false, 1, 1>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, true, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, true, false, 1, 2>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, true, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’ 1896 | p(res, blockA, blockB, alpha, peeled_mc1, peeled_mc_half, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’ 1902 | p(res, blockA, blockB, alpha, peeled_mc_half, peeled_mc_quarter, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’ 1501 | traits.loadLhs(&blA[(0 + 3 * K) * LhsProgress], A0); \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’ 1896 | p(res, blockA, blockB, alpha, peeled_mc1, peeled_mc_half, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’ 1902 | p(res, blockA, blockB, alpha, peeled_mc_half, peeled_mc_quarter, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:341: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, std::complex >, const Eigen::CwiseNullaryOp >, const Eigen::Matrix, 1, -1> >, const Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >; Dest = Eigen::Transpose, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const std::complex*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = std::complex; bool ConjLhs = false; RhsScalar = std::complex; bool ConjRhs = true; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c helpers.cpp -o helpers.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from helpers.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c RNifti.cpp -o RNifti.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c AffineMatrix.cpp -o AffineMatrix.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from AffineMatrix.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ AffineMatrix.cpp:21:15: required from here 21 | if (matrix.rows() != 4 || matrix.cols() != 4) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ AffineMatrix.cpp:21:15: required from here 21 | if (matrix.rows() != 4 || matrix.cols() != 4) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c DeformationField.cpp -o DeformationField.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from DeformationField.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ DeformationField.cpp:147:11: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 147 | Point closestLoc = Point::Zero(); | ^~~~~~~~~~ DeformationField.cpp:326:200: required from here 326 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ DeformationField.cpp:147:11: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 147 | Point closestLoc = Point::Zero(); | ^~~~~~~~~~ DeformationField.cpp:326:200: required from here 326 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ DeformationField.cpp:147:35: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 147 | Point closestLoc = Point::Zero(); | ~~~~~~~~~~~^~ DeformationField.cpp:326:200: required from here 326 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DeformationField.cpp:197:64: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 197 | const double currentDistance = (currentLoc - sourceLoc).norm(); | ~~~~~~~~~~~~^~~~~~~~~~~~ DeformationField.cpp:326:200: required from here 326 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ DeformationField.cpp:147:11: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 147 | Point closestLoc = Point::Zero(); | ^~~~~~~~~~ DeformationField.cpp:329:200: required from here 329 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ DeformationField.cpp:147:11: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 147 | Point closestLoc = Point::Zero(); | ^~~~~~~~~~ DeformationField.cpp:329:200: required from here 329 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ DeformationField.cpp:147:35: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 147 | Point closestLoc = Point::Zero(); | ~~~~~~~~~~~^~ DeformationField.cpp:329:200: required from here 329 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DeformationField.cpp:197:64: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 197 | const double currentDistance = (currentLoc - sourceLoc).norm(); | ~~~~~~~~~~~~^~~~~~~~~~~~ DeformationField.cpp:329:200: required from here 329 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ DeformationField.cpp:163:27: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 163 | if (direction.norm() > 0.0) | ~~~~~~~~~~~~~~^~ DeformationField.cpp:326:200: required from here 326 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ DeformationField.cpp:197:81: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 197 | const double currentDistance = (currentLoc - sourceLoc).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ DeformationField.cpp:326:200: required from here 326 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ DeformationField.cpp:163:27: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 163 | if (direction.norm() > 0.0) | ~~~~~~~~~~~~~~^~ DeformationField.cpp:329:200: required from here 329 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ DeformationField.cpp:197:81: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 197 | const double currentDistance = (currentLoc - sourceLoc).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ DeformationField.cpp:329:200: required from here 329 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c aladin.cpp -o aladin.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from aladin.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ aladin.cpp:86:35: required from ‘AladinResult regAladin(const RNifti::NiftiImage&, const RNifti::NiftiImage&, LinearTransformScope, bool, int, int, int, int, const RNifti::NiftiImage&, const RNifti::NiftiImage&, const AffineMatrix&, bool, bool) [with PrecisionType = float]’ 86 | result.forwardTransform = AffineMatrix(*reg->GetTransformationMatrix()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ aladin.cpp:99:394: required from here 99 | AladinResult regAladin (const NiftiImage &sourceImage, const NiftiImage &targetImage, const LinearTransformScope scope, const bool symmetric, const int nLevels, const int maxIterations, const int useBlockPercentage, const int interpolation, const NiftiImage &sourceMaskImage, const NiftiImage &targetMaskImage, const AffineMatrix &initAffine, const bool verbose, const bool estimateOnly); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ aladin.cpp:86:35: required from ‘AladinResult regAladin(const RNifti::NiftiImage&, const RNifti::NiftiImage&, LinearTransformScope, bool, int, int, int, int, const RNifti::NiftiImage&, const RNifti::NiftiImage&, const AffineMatrix&, bool, bool) [with PrecisionType = float]’ 86 | result.forwardTransform = AffineMatrix(*reg->GetTransformationMatrix()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ aladin.cpp:99:394: required from here 99 | AladinResult regAladin (const NiftiImage &sourceImage, const NiftiImage &targetImage, const LinearTransformScope scope, const bool symmetric, const int nLevels, const int maxIterations, const int useBlockPercentage, const int interpolation, const NiftiImage &sourceMaskImage, const NiftiImage &targetMaskImage, const AffineMatrix &initAffine, const bool verbose, const bool estimateOnly); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c f3d.cpp -o f3d.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from f3d.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/AladinContent.cpp -o reg-lib/AladinContent.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/AladinContent.h:10, from reg-lib/AladinContent.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/Platform.cpp -o reg-lib/Platform.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/AladinContent.h:10, from reg-lib/Platform.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/_reg_aladin.cpp -o reg-lib/_reg_aladin.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/_reg_aladin.h:19, from reg-lib/_reg_aladin.cpp:7: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/_reg_aladin_sym.cpp -o reg-lib/_reg_aladin_sym.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/_reg_aladin.h:19, from reg-lib/_reg_aladin_sym.h:15, from reg-lib/_reg_aladin_sym.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/_reg_base.cpp -o reg-lib/_reg_base.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/_reg_base.h:16, from reg-lib/_reg_base.cpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/_reg_f3d.cpp -o reg-lib/_reg_f3d.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/_reg_base.h:16, from reg-lib/_reg_f3d.h:15, from reg-lib/_reg_f3d.cpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/_reg_f3d2.cpp -o reg-lib/_reg_f3d2.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/_reg_base.h:16, from reg-lib/_reg_f3d.h:15, from reg-lib/_reg_f3d_sym.h:15, from reg-lib/_reg_f3d2.h:12, from reg-lib/_reg_f3d2.cpp:16: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/_reg_f3d_sym.cpp -o reg-lib/_reg_f3d_sym.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/_reg_base.h:16, from reg-lib/_reg_f3d.h:15, from reg-lib/_reg_f3d_sym.h:15, from reg-lib/_reg_f3d_sym.cpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/CPUAffineDeformationFieldKernel.cpp -o reg-lib/cpu/CPUAffineDeformationFieldKernel.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/AladinContent.h:10, from reg-lib/cpu/CPUAffineDeformationFieldKernel.h:5, from reg-lib/cpu/CPUAffineDeformationFieldKernel.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/CPUBlockMatchingKernel.cpp -o reg-lib/cpu/CPUBlockMatchingKernel.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/cpu/CPUBlockMatchingKernel.h:5, from reg-lib/cpu/CPUBlockMatchingKernel.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/CPUConvolutionKernel.cpp -o reg-lib/cpu/CPUConvolutionKernel.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/cpu/CPUConvolutionKernel.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/CPUKernelFactory.cpp -o reg-lib/cpu/CPUKernelFactory.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/AladinContent.h:10, from reg-lib/KernelFactory.h:4, from reg-lib/cpu/CPUKernelFactory.h:4, from reg-lib/cpu/CPUKernelFactory.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/CPUOptimiseKernel.cpp -o reg-lib/cpu/CPUOptimiseKernel.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/cpu/CPUOptimiseKernel.h:5, from reg-lib/cpu/CPUOptimiseKernel.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/CPUResampleImageKernel.cpp -o reg-lib/cpu/CPUResampleImageKernel.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/AladinContent.h:10, from reg-lib/cpu/CPUResampleImageKernel.h:5, from reg-lib/cpu/CPUResampleImageKernel.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_blockMatching.cpp -o reg-lib/cpu/_reg_blockMatching.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/cpu/_reg_blockMatching.cpp:12: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_blockMatching.cpp: In function ‘void block_matching_method2D(nifti_image*, nifti_image*, _reg_blockMatchingParam*, int*) [with DTYPE = double]’: reg-lib/cpu/_reg_blockMatching.cpp:354:65: warning: ‘maskPtr_XY’ may be used uninitialized [-Wmaybe-uninitialized] 354 | if (value == value && *maskPtr_XY > -1) { | ~~~~~~~~~~~~^~~~ reg-lib/cpu/_reg_blockMatching.cpp:285:9: note: ‘maskPtr_XY’ was declared here 285 | int *maskPtr_XY; | ^~~~~~~~~~ reg-lib/cpu/_reg_blockMatching.cpp: In function ‘void block_matching_method2D(nifti_image*, nifti_image*, _reg_blockMatchingParam*, int*) [with DTYPE = float]’: reg-lib/cpu/_reg_blockMatching.cpp:354:65: warning: ‘maskPtr_XY’ may be used uninitialized [-Wmaybe-uninitialized] 354 | if (value == value && *maskPtr_XY > -1) { | ~~~~~~~~~~~~^~~~ reg-lib/cpu/_reg_blockMatching.cpp:285:9: note: ‘maskPtr_XY’ was declared here 285 | int *maskPtr_XY; | ^~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_globalTrans.cpp -o reg-lib/cpu/_reg_globalTrans.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/cpu/_reg_globalTrans.cpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_globalTrans.cpp: In function ‘void estimate_rigid_transformation2D(float**, float**, int, mat44*)’: reg-lib/cpu/_reg_globalTrans.cpp:297:4: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 297 | for(size_t dance=0;dance<2;++dance) free(p1t[dance]); free(p1t); | ^~~ reg-lib/cpu/_reg_globalTrans.cpp:297:58: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 297 | for(size_t dance=0;dance<2;++dance) free(p1t[dance]); free(p1t); | ^~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_localTrans.cpp -o reg-lib/cpu/_reg_localTrans.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/cpu/_reg_localTrans.h:20, from reg-lib/cpu/_reg_localTrans.cpp:13: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_localTrans_jac.cpp -o reg-lib/cpu/_reg_localTrans_jac.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/cpu/_reg_localTrans.h:20, from reg-lib/cpu/_reg_localTrans_jac.h:16, from reg-lib/cpu/_reg_localTrans_jac.cpp:12: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_localTrans_regul.cpp -o reg-lib/cpu/_reg_localTrans_regul.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_splineBasis.h:15, from reg-lib/cpu/_reg_localTrans_regul.h:16, from reg-lib/cpu/_reg_localTrans_regul.cpp:12: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_maths.cpp -o reg-lib/cpu/_reg_maths.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_maths.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_maths_eigen.cpp -o reg-lib/cpu/_reg_maths_eigen.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_maths_eigen.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:52:11: required from here 52 | m(sm, sn) = static_cast(in[sm][sn]); | ~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:52:11: required from here 52 | m(sm, sn) = static_cast(in[sm][sn]); | ~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/SVDBase.h:274:22: required from ‘class Eigen::SVDBase, 2> >’ 274 | SingularValuesType m_singularValues; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:488:60: required from ‘class Eigen::JacobiSVD, 2>’ 488 | template class JacobiSVD | ^~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:64:33: required from here 64 | w[sn] = static_cast(svd.singularValues()(sn)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from ‘class Eigen::ColPivHouseholderQR >’ 440 | RowVectorType m_temp; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:246:10: required from ‘struct Eigen::internal::qr_preconditioner_impl, 2, 0, true>’ 246 | QRType m_qr; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:609:110: required from ‘class Eigen::JacobiSVD, 2>’ 609 | internal::qr_preconditioner_impl m_qr_precond_morecols; | ^~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:64:33: required from here 64 | w[sn] = static_cast(svd.singularValues()(sn)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:226:20: required from here 226 | Eigen::Matrix4d m; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:226:20: required from here 226 | Eigen::Matrix4d m; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:316:34: required from ‘class Eigen::MatrixSquareRootReturnValue >’ 316 | template class MatrixSquareRootReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:14: required from here 234 | m = m.sqrt(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:244:20: required from here 244 | Eigen::Matrix3d tensor; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:244:20: required from here 244 | Eigen::Matrix3d tensor; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:396:35: required from ‘struct Eigen::MatrixExponentialReturnValue >’ 396 | template struct MatrixExponentialReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:23: required from here 256 | tensor = tensor.exp(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:396:35: required from ‘struct Eigen::MatrixExponentialReturnValue >’ 396 | template struct MatrixExponentialReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:13: required from here 273 | m = m.exp(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:309:34: required from ‘class Eigen::MatrixLogarithmReturnValue >’ 309 | template class MatrixLogarithmReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:23: required from here 303 | tensor = tensor.log(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:309:34: required from ‘class Eigen::MatrixLogarithmReturnValue >’ 309 | template class MatrixLogarithmReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:13: required from here 320 | m = m.log(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:336:21: required from here 336 | m_inv = m.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:37: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 679 | RealScalar scale = matrix.cwiseAbs().template maxCoeff(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 691 | m_scaledMatrix = matrix / scale; | ~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 691 | m_scaledMatrix = matrix / scale; | ~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:32: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale; | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:60: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, const Eigen::Matrix >, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:705:61: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 705 | RealScalar maxDiagEntry = m_workMatrix.cwiseAbs().diagonal().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:758:35: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 758 | if(computeU()) m_matrixU.col(i) *= m_workMatrix.coeff(i,i)/a; | ~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:765:62: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 765 | if(computeU() && (a::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:777:65: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 777 | RealScalar maxRemainingSingularValue = m_singularValues.tail(m_diagSize-i).maxCoeff(&pos); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:228:33: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 228 | m_adjoint = matrix.adjoint(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false> >, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:231:121: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 231 | svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.rows(),matrix.rows()).template triangularView().adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:25:26: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 25 | Matrix m; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 297 | RowXpr x(this->row(p)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 733 | m_workMatrix.applyOnTheLeft(p,q,j_left); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:758:39: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 758 | if(computeU()) m_matrixU.col(i) *= m_workMatrix.coeff(i,i)/a; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:555:41: required from ‘Eigen::PartialPivLU::Scalar Eigen::PartialPivLU::determinant() const [with _MatrixType = Eigen::Matrix; Scalar = double]’ 555 | return Scalar(m_det_p) * m_lu.diagonal().prod(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:40: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 297 | dst.diagonal().setOnes(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:303:34: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:59: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:310:26: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 310 | dst.col(k).tail(rows()-k-1).setZero(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 297 | RowXpr x(this->row(p)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 297 | RowXpr x(this->row(p)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, -1, false>; VectorY = Eigen::Block, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 733 | m_workMatrix.applyOnTheLeft(p,q,j_left); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 1, true>; VectorY = Eigen::Block, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:734:53: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 734 | if(computeU()) m_matrixU.applyOnTheRight(p,q,j_left.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21: required from ‘Derived& Eigen::MatrixBase::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ 892 | return setIdentity(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:698:45: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 698 | if(m_computeFullU) m_matrixU.setIdentity(m_rows,m_rows); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, 2, false>; VectorY = Eigen::Block, 1, 2, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:777:88: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 777 | RealScalar maxRemainingSingularValue = m_singularValues.tail(m_diagSize-i).maxCoeff(&pos); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:85:128: required from ‘class Eigen::HessenbergDecomposition >’ 85 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:230:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:268:38: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 268 | PlainType sqrtT = PlainType::Zero(arg.rows(), arg.cols()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:361:24: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 361 | MatrixType numer = U + V; | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:22: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 362 | MatrixType denom = -U + V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:25: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 362 | MatrixType denom = -U + V; | ~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:363:38: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 363 | result = denom.partialPivLu().solve(numer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:361:24: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 361 | MatrixType numer = U + V; | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:22: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 362 | MatrixType denom = -U + V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:25: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 362 | MatrixType denom = -U + V; | ~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:363:38: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 363 | result = denom.partialPivLu().solve(numer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 3, 3> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 3, 3> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 3, 3> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 3, 3> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 3, 3> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, 3, 3>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 4, 4> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 4, 4> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 4, 4> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 4, 4> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 4, 4> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, 4, 4>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:14: required from here 320 | m = m.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:71: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 679 | RealScalar scale = matrix.cwiseAbs().template maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:406:42: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setConstant(const Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 10; TriangularViewType = Eigen::TriangularView, 10>; Scalar = double]’ 406 | { return *this = MatrixType::Constant(derived().rows(), derived().cols(), value); } | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:409:44: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setZero() [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 10; TriangularViewType = Eigen::TriangularView, 10>]’ 409 | TriangularViewType& setZero() { return setConstant(Scalar(0)); } | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:298:61: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 298 | dst.template triangularView().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:59: required from ‘static void Eigen::internal::matrix_exp_computeUV::run(const ArgType&, MatrixType&, MatrixType&, int&) [with ArgType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 243 | const RealScalar l1norm = arg.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 360 | matrix_exp_computeUV::run(arg, U, V, squarings); // Pade approximant is (U+V) / (-U+V) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:257:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:59: required from ‘static void Eigen::internal::matrix_exp_computeUV::run(const ArgType&, MatrixType&, MatrixType&, int&) [with ArgType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 243 | const RealScalar l1norm = arg.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 360 | matrix_exp_computeUV::run(arg, U, V, squarings); // Pade approximant is (U+V) / (-U+V) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:257:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType >’ 339 | template struct HessenbergDecompositionMatrixHReturnType | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:39: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:70:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:31: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:65: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:43: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:36: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:36: required from ‘void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 89 | const MatrixType tmp = b[5] * A4 + b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:48: required from ‘void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 89 | const MatrixType tmp = b[5] * A4 + b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:108:48: required from ‘void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 108 | const MatrixType tmp = b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:109:5: required from ‘void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 108 | const MatrixType tmp = b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:131:60: required from ‘void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 131 | const MatrixType tmp = b[9] * A8 + b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:132:5: required from ‘void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 131 | const MatrixType tmp = b[9] * A8 + b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 132 | + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:31: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:65: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:43: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:36: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:36: required from ‘void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 89 | const MatrixType tmp = b[5] * A4 + b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:48: required from ‘void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 89 | const MatrixType tmp = b[5] * A4 + b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:108:48: required from ‘void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 108 | const MatrixType tmp = b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:109:5: required from ‘void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 108 | const MatrixType tmp = b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:131:60: required from ‘void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 131 | const MatrixType tmp = b[9] * A8 + b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:132:5: required from ‘void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 131 | const MatrixType tmp = b[9] * A8 + b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 132 | + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:57: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:85:128: required from ‘class Eigen::HessenbergDecomposition >’ 85 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from ‘class Eigen::RealSchur >’ 230 | HessenbergDecomposition m_hess; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:28:105: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 28 | = (es.eigenvectors() * es.eigenvalues().cwiseSqrt().asDiagonal() * es.eigenvectors().inverse()).real(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:40: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:73: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 63 | Matrix A = sqrtT.coeff(j,j) * Matrix::Identity(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:43: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 63 | Matrix A = sqrtT.coeff(j,j) * Matrix::Identity(); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:55: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 2, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Transpose >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Transpose > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:67: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false>, 1, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false>, 1, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, 4, false>, 1, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, 4, false>, 1, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, 4, false>, 1, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:38:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:18: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale; | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 4, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 4, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:68: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:94:41: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 94 | result = coeffMatrix.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:85: required from ‘void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1, 0, 3, 3>]’ 245 | RealScalar normTminusI = (T - MatrixType::Identity(T.rows(), T.rows())).cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:101: required from ‘void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1, 0, 3, 3>]’ 245 | RealScalar normTminusI = (T - MatrixType::Identity(T.rows(), T.rows())).cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27: required from ‘MatrixType Eigen::internal::MatrixLogarithmAtomic::compute(const MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1, 0, 3, 3>]’ 291 | matrix_log_compute_big(A, result); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h:247:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:85: required from ‘void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1, 0, 4, 4>]’ 245 | RealScalar normTminusI = (T - MatrixType::Identity(T.rows(), T.rows())).cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:14: required from here 320 | m = m.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:101: required from ‘void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1, 0, 4, 4>]’ 245 | RealScalar normTminusI = (T - MatrixType::Identity(T.rows(), T.rows())).cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27: required from ‘MatrixType Eigen::internal::MatrixLogarithmAtomic::compute(const MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1, 0, 4, 4>]’ 291 | matrix_log_compute_big(A, result); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h:247:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:14: required from here 320 | m = m.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 511 | RealScalar threshold_helper = numext::abs2(m_colNormsUpdated.maxCoeff() * NumTraits::epsilon()) / RealScalar(rows); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, 4, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:306:25: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 306 | matA.col(i).coeffRef(i+1) = beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 4, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 4, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 4, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, -1, true>, 4, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, -1, true>, 4, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, -1, true>, 4, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, -1, true>, 4, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, -1, true>, 4, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, -1, true>, 4, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 4, 1, true>, -1>; Derived = Eigen::Block, 4, -1, true>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from ‘Derived& Eigen::DenseBase::setOnes() [with Derived = Eigen::Diagonal, 0>]’ 700 | return setConstant(Scalar(1)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 161 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 4, 1, true>, -1, 1, false>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 4, 1, true>, -1, 1, false>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:310:46: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 4, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 4, 4> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 4, 4>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:14: required from here 320 | m = m.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 4, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 4, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, 4, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 4, -1, true>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 4, 1, true>, -1>; Derived = Eigen::Block, 4, -1, true>; Scalar = double]’ 161 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 4, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 4, -1, true>, 1, -1, false>; VectorY = Eigen::Block, 4, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, 4, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 4, -1, true>, 1, -1, false>; VectorY = Eigen::Block, 4, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, 4, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 4, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, -1, 1, true> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 4, false>, -1, 1, true>; VectorY = Eigen::Block, -1, 4, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, 4, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 4, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 4, false>, -1, 1, true>; VectorY = Eigen::Block, -1, 4, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, 4, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:43: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType >’ 339 | template struct HessenbergDecompositionMatrixHReturnType | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:39: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 2, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, 2, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, 2, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:100: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, 2, 2>, 2, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, 2, 2>, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, 2, 2>, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Block, 2, 2>, 2, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Block, 2, 2>, 2, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 2>, 2, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = std::complex]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:147:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 3; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<3, 3, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 4; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<4, 4, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, 2, 2> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, 2, 2> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, 2, 2> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, 2, 2>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Matrix, 2, 2> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:293:32: required from ‘Eigen::ComplexSchur<_MatrixType>::ComplexScalar Eigen::ComplexSchur<_MatrixType>::computeShift(Index, Index) [with _MatrixType = Eigen::Matrix, 3, 3>; ComplexScalar = std::complex; Index = long int]’ 293 | RealScalar normt = t.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:434:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix’ 92 | SmallPanelWidth = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:86:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:86:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:281:10: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 281 | m_matT *= scale; | ~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 2, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:525:40: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 525 | m_matT.col(n).tail(size-i) /= t; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:598:45: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 598 | m_matT.block(i, n-1, size-i, 2) /= t; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:44: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:520:35: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 520 | .unaryExpr(Scoring()) | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:85: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 3, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 3, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 3, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 3; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 4, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 4, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 4, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 4; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:74: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 309 | Scalar norm = computeNormOfT(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:68: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, 2, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 2, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, 2, false>, 1, -1, false>; U = Eigen::Block, 2, 1, true>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:520:35: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 520 | .unaryExpr(Scoring()) | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:85: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 2, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 2, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, 2, 2, false>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:64:5: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 4, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 4, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 4, false>, 1, -1, false> >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 4, false>, 1, -1, false> >, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 4, false>, 1, -1, false> >, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 4, false>, 1, -1, false> >, const Eigen::Block, 4, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 4, false>, 1, -1, false> >, const Eigen::Block, 4, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, 4, false>, 1, -1, false>; Rhs = Eigen::Block, 4, 1, true>, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 3; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 390 | lu.col(k).tail(fix(rrows)) /= lu.coeff(k,k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 175 | pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 274 | evaluator rhsEval(rhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 2, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 2, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 2, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, 2, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:306:25: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 306 | matA.col(i).coeffRef(i+1) = beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 2, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 2, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1>; Derived = Eigen::Block, 2, -1, true>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 2, false>, Eigen::Block, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 2, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:59: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 1, 2, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 1, 2, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, 2, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 2, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 2, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Block, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Block, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = std::complex]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Block, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Block, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = std::complex]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:14: required from here 320 | m = m.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, -1, true>, 4, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 4, -1, true>, 4, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 4, -1, true>, 4, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 4, -1, true>, 4, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 4, -1, true>, 4, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, 4, -1, true>, 4, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, 2, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 2, -1, true>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1>; Derived = Eigen::Block, 2, -1, true>; Scalar = double]’ 161 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 2, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 2, -1, true>, 1, -1, false>; VectorY = Eigen::Block, 2, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, 2, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 2, -1, true>, 1, -1, false>; VectorY = Eigen::Block, 2, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, 2, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, -1, 1, true> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 2, false>, -1, 1, true>; VectorY = Eigen::Block, -1, 2, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, 2, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 2, false>, -1, 1, true>; VectorY = Eigen::Block, -1, 2, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, 2, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, std::complex >’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, const Eigen::Block, 2, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseUnaryOp >, const Eigen::Block, 2, 1, true> >; Functor = assign_op, std::complex >]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseUnaryOp >, const Eigen::Block, 2, 1, true> >; Functor = Eigen::internal::assign_op, std::complex >; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, -1, -1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, -1, -1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:348:14: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 4, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 4, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 4, false>, 1, -1, false> >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 3, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 3, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 3, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 3, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 3, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 3, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 4, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, 4, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 4, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 4, false>, Eigen::Block, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 4, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:59: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 4, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 4, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 4, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 4, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 4, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 4, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 360 | matrix_exp_computeUV::run(arg, U, V, squarings); // Pade approximant is (U+V) / (-U+V) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:14: required from here 320 | m = m.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, -1, true>, 4, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 4, -1, true>, 4, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:74: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 309 | Scalar norm = computeNormOfT(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:386:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 4, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:386:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ 125 | Map >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 3, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 3, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 3, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 3, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 3, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true>, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 2, -1, true>, 2, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 2, -1, true>, 2, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 2, -1, true>, 2, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 2, -1, true>, 2, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, 2, -1, true>, 2, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 3, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 4, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 4, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 4, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 4, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 4, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 360 | matrix_exp_computeUV::run(arg, U, V, squarings); // Pade approximant is (U+V) / (-U+V) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:14: required from here 320 | m = m.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 4, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 4, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, 4, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, 2, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, 2, false> >, 1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 4, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true>, 2, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 2, -1, true>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 2, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 2, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 3, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 2, false>, Eigen::Block, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 2, false>, Eigen::Block, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 660 | m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index)); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 2, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 2, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, 2, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 2, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 1, 2, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 4, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 4, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 4, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 4, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 4, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 4, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 4, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 4, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, 4, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 660 | m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index)); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 2, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 4, 1, true>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 4, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 4, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 4, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, 4, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 4, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 1, 4, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 4, false>, Eigen::Block, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 4, false>, Eigen::Block, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 2, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 2, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 2, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 4, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 4, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 4, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Block, 1, 3, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Block, 1, 3, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Block, 1, 3, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Block, 1, 3, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 3, false>; Derived = Eigen::Block, 1, 3, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, false, 1, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 64 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix, -1, -1, 0, 3, 3>; DstType = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 552 | this->solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:127:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, false, 1, 1>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, false, 1, 2>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix, -1, -1, 0, 3, 3>; DstType = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 552 | this->solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:127:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::unpacket_traits >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:746:64: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 746 | typedef DoublePacket::half> half; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 660 | m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index)); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 4, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 4, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1501 | traits.loadLhs(&blA[(0 + 3 * K) * LhsProgress], A0); \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 660 | m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index)); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 2, false>, 1, 2, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, 2, false>; Rhs = Eigen::Block, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1896 | p(res, blockA, blockB, alpha, peeled_mc1, peeled_mc_half, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1902 | p(res, blockA, blockB, alpha, peeled_mc_half, peeled_mc_quarter, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, true, false, 1, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1063:38: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, true, false>’ 1063 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, true, 1, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1074:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, true, false>’ 1074 | typedef typename SwappedTraits::ResScalar SResScalar; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, true, false, 1, 1>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, true, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, true, false, 1, 2>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, true, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, 1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, 1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 4, false>, 1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 4, false>, 1, 4, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, 1, 4, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, 1, 4, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 4, false>, 1, 4, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 4, false>, 1, 4, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, 4, false>; Rhs = Eigen::Block, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, 4, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, true, 1, 1>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, true>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, 3, 3>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; Derived = Eigen::internal::generic_product_impl, 3, 3>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, true, 1, 2>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, true>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, 3, 3>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; Derived = Eigen::internal::generic_product_impl, 3, 3>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’ 1501 | traits.loadLhs(&blA[(0 + 3 * K) * LhsProgress], A0); \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, 3, 3>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; Derived = Eigen::internal::generic_product_impl, 3, 3>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; Derived = Eigen::internal::generic_product_impl, 3, 3>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 4, false>, 1, 4, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’ 1501 | traits.loadLhs(&blA[(0 + 3 * K) * LhsProgress], A0); \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, 3, 3>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; Derived = Eigen::internal::generic_product_impl, 3, 3>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’ 1896 | p(res, blockA, blockB, alpha, peeled_mc1, peeled_mc_half, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’ 1902 | p(res, blockA, blockB, alpha, peeled_mc_half, peeled_mc_quarter, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’ 1896 | p(res, blockA, blockB, alpha, peeled_mc1, peeled_mc_half, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, 3, 3>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’ 1902 | p(res, blockA, blockB, alpha, peeled_mc_half, peeled_mc_quarter, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, 3, 3>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:341: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 4, 4>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, std::complex >, const Eigen::CwiseNullaryOp >, const Eigen::Matrix, 1, -1, 1, 1, 4> >, const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >; Dest = Eigen::Transpose, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const std::complex*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = std::complex; bool ConjLhs = false; RhsScalar = std::complex; bool ConjRhs = true; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 3, 3>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, std::complex >, const Eigen::CwiseNullaryOp >, const Eigen::Matrix, 1, -1, 1, 1, 3> >, const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >; Dest = Eigen::Transpose, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const std::complex*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = std::complex; bool ConjLhs = false; RhsScalar = std::complex; bool ConjRhs = true; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_nmi.cpp -o reg-lib/cpu/_reg_nmi.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_measure.h:11, from reg-lib/cpu/_reg_nmi.h:15, from reg-lib/cpu/_reg_nmi.cpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_optimiser.cpp -o reg-lib/cpu/_reg_optimiser.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_optimiser.h:9, from reg-lib/cpu/_reg_optimiser.cpp:9: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_resampling.cpp -o reg-lib/cpu/_reg_resampling.o reg-lib/cpu/_reg_resampling.cpp:1420:1: warning: multi-line comment [-Wcomment] 1420 | //#pragma omp parallel for default(none) \ | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_resampling.cpp:16: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = unsigned char]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = char]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = short unsigned int]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = short int]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = unsigned int]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = int]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = float]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = double]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_splineBasis.cpp -o reg-lib/cpu/_reg_splineBasis.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_splineBasis.h:15, from reg-lib/cpu/_reg_splineBasis.cpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_tools.cpp -o reg-lib/cpu/_reg_tools.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_tools.cpp:17: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o RNiftyReg.so main.o helpers.o RNifti.o AffineMatrix.o DeformationField.o aladin.o f3d.o reg-lib/AladinContent.o reg-lib/Platform.o reg-lib/_reg_aladin.o reg-lib/_reg_aladin_sym.o reg-lib/_reg_base.o reg-lib/_reg_f3d.o reg-lib/_reg_f3d2.o reg-lib/_reg_f3d_sym.o reg-lib/cpu/CPUAffineDeformationFieldKernel.o reg-lib/cpu/CPUBlockMatchingKernel.o reg-lib/cpu/CPUConvolutionKernel.o reg-lib/cpu/CPUKernelFactory.o reg-lib/cpu/CPUOptimiseKernel.o reg-lib/cpu/CPUResampleImageKernel.o reg-lib/cpu/_reg_blockMatching.o reg-lib/cpu/_reg_globalTrans.o reg-lib/cpu/_reg_localTrans.o reg-lib/cpu/_reg_localTrans_jac.o reg-lib/cpu/_reg_localTrans_regul.o reg-lib/cpu/_reg_maths.o reg-lib/cpu/_reg_maths_eigen.o reg-lib/cpu/_reg_nmi.o reg-lib/cpu/_reg_optimiser.o reg-lib/cpu/_reg_resampling.o reg-lib/cpu/_reg_splineBasis.o reg-lib/cpu/_reg_tools.o -fopenmp -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpkOmpjp/R.INSTALL2d32201496739d/RNiftyReg/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-RNiftyReg/00new/RNiftyReg/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RNiftyReg) * installing *source* package ‘mlpack’ ... ** package ‘mlpack’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-1) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp7n4Utu/R.INSTALL2d1c332c8f68a3/mlpack/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack.h:52, from RcppExports.cpp:4: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c adaboost.cpp -o adaboost.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/adaboost/adaboost_main.cpp:34, from adaboost.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c approx_kfn.cpp -o approx_kfn.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/approx_kfn/approx_kfn_main.cpp:12, from approx_kfn.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c bayesian_linear_regression.cpp -o bayesian_linear_regression.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression_main.cpp:12, from bayesian_linear_regression.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c cf.cpp -o cf.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/cf/cf_main.cpp:12, from cf.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c dbscan.cpp -o dbscan.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/dbscan/dbscan_main.cpp:12, from dbscan.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c decision_tree.cpp -o decision_tree.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/decision_tree/decision_tree_main.cpp:12, from decision_tree.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c det.cpp -o det.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/det/det_main.cpp:12, from det.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c emst.cpp -o emst.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/emst/emst_main.cpp:27, from emst.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c fastmks.cpp -o fastmks.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/fastmks/fastmks_main.cpp:12, from fastmks.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c gmm_generate.cpp -o gmm_generate.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/gmm/gmm_generate_main.cpp:12, from gmm_generate.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c gmm_probability.cpp -o gmm_probability.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/gmm/gmm_probability_main.cpp:12, from gmm_probability.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c gmm_train.cpp -o gmm_train.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/gmm/gmm_train_main.cpp:12, from gmm_train.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c hmm_generate.cpp -o hmm_generate.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/hmm/hmm_generate_main.cpp:14, from hmm_generate.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c hmm_loglik.cpp -o hmm_loglik.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/hmm/hmm_loglik_main.cpp:12, from hmm_loglik.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c hmm_train.cpp -o hmm_train.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/hmm/hmm_train_main.cpp:12, from hmm_train.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c hmm_viterbi.cpp -o hmm_viterbi.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/hmm/hmm_viterbi_main.cpp:13, from hmm_viterbi.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c hoeffding_tree.cpp -o hoeffding_tree.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/hoeffding_trees/hoeffding_tree_main.cpp:12, from hoeffding_tree.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c image_converter.cpp -o image_converter.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/preprocess/image_converter_main.cpp:13, from image_converter.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c kde.cpp -o kde.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/kde/kde_main.cpp:12, from kde.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c kernel_pca.cpp -o kernel_pca.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/kernel_pca/kernel_pca_main.cpp:12, from kernel_pca.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c kfn.cpp -o kfn.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/neighbor_search/kfn_main.cpp:13, from kfn.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c kmeans.cpp -o kmeans.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/kmeans/kmeans_main.cpp:12, from kmeans.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c knn.cpp -o knn.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/neighbor_search/knn_main.cpp:13, from knn.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c krann.cpp -o krann.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/rann/krann_main.cpp:13, from krann.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c lars.cpp -o lars.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/lars/lars_main.cpp:12, from lars.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c linear_regression.cpp -o linear_regression.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/linear_regression/linear_regression_main.cpp:12, from linear_regression.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c linear_svm.cpp -o linear_svm.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/linear_svm/linear_svm_main.cpp:12, from linear_svm.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c lmnn.cpp -o lmnn.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/lmnn/lmnn_main.cpp:12, from lmnn.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c local_coordinate_coding.cpp -o local_coordinate_coding.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/local_coordinate_coding/local_coordinate_coding_main.cpp:12, from local_coordinate_coding.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c logistic_regression.cpp -o logistic_regression.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/logistic_regression/logistic_regression_main.cpp:12, from logistic_regression.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c lsh.cpp -o lsh.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/lsh/lsh_main.cpp:13, from lsh.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c mean_shift.cpp -o mean_shift.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/mean_shift/mean_shift_main.cpp:12, from mean_shift.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c nbc.cpp -o nbc.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/naive_bayes/nbc_main.cpp:15, from nbc.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c nca.cpp -o nca.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/nca/nca_main.cpp:12, from nca.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c nmf.cpp -o nmf.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/nmf/nmf_main.cpp:12, from nmf.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c pca.cpp -o pca.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/pca/pca_main.cpp:13, from pca.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c perceptron.cpp -o perceptron.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/perceptron/perceptron_main.cpp:15, from perceptron.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c preprocess_binarize.cpp -o preprocess_binarize.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/preprocess/preprocess_binarize_main.cpp:12, from preprocess_binarize.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c preprocess_describe.cpp -o preprocess_describe.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/preprocess/preprocess_describe_main.cpp:12, from preprocess_describe.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c preprocess_one_hot_encoding.cpp -o preprocess_one_hot_encoding.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/preprocess/preprocess_one_hot_encoding_main.cpp:12, from preprocess_one_hot_encoding.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c preprocess_scale.cpp -o preprocess_scale.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/preprocess/preprocess_scale_main.cpp:12, from preprocess_scale.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c preprocess_split.cpp -o preprocess_split.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/preprocess/preprocess_split_main.cpp:12, from preprocess_split.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c r_util.cpp -o r_util.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from r_util.cpp:14: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c radical.cpp -o radical.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/radical/radical_main.cpp:13, from radical.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c random_forest.cpp -o random_forest.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/random_forest/random_forest_main.cpp:12, from random_forest.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c softmax_regression.cpp -o softmax_regression.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/softmax_regression/softmax_regression_main.cpp:11, from softmax_regression.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c sparse_coding.cpp -o sparse_coding.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ../inst/include/mlpack/core.hpp:43, from ../inst/include/mlpack/methods/sparse_coding/sparse_coding_main.cpp:12, from sparse_coding.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEnsmallen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I. -I../inst/include -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c test_r_binding.cpp -o test_r_binding.o In file included from ../inst/include/mlpack/core/data/save_image.hpp:26, from ../inst/include/mlpack/core/data/save.hpp:25, from ../inst/include/mlpack/core/util/io.hpp:32, from ./mlpack/bindings/R/tests//test_r_binding_main.cpp:13, from test_r_binding.cpp:9: ../inst/include/stb/stb_image_write.h:1514:14: warning: ‘int stbi_write_jpg_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1514 | STBIWDEF int stbi_write_jpg_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int quality) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:1182:14: warning: ‘int stbi_write_png_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*, int)’ defined but not used [-Wunused-function] 1182 | STBIWDEF int stbi_write_png_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data, int stride_bytes) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:754:14: warning: ‘int stbi_write_hdr_to_func(void (*)(void*, void*, int), void*, int, int, int, const float*)’ defined but not used [-Wunused-function] 754 | STBIWDEF int stbi_write_hdr_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const float *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:580:14: warning: ‘int stbi_write_tga_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 580 | STBIWDEF int stbi_write_tga_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:482:14: warning: ‘int stbi_write_bmp_to_func(void (*)(void*, void*, int), void*, int, int, int, const void*)’ defined but not used [-Wunused-function] 482 | STBIWDEF int stbi_write_bmp_to_func(stbi_write_func *func, void *context, int x, int y, int comp, const void *data) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image_write.h:266:15: warning: ‘void stbi_flip_vertically_on_write(int)’ defined but not used [-Wunused-function] 266 | STBIWDEF void stbi_flip_vertically_on_write(int flag) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/mlpack/core/data/load_image.hpp:29, from ../inst/include/mlpack/core/data/load.hpp:26, from ../inst/include/mlpack/core/util/io.hpp:31: ../inst/include/stb/stb_image.h:7314:13: warning: ‘int stbi_is_16_bit_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 7314 | STBIDEF int stbi_is_16_bit_from_callbacks(stbi_io_callbacks const *c, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7307:13: warning: ‘int stbi_is_16_bit_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 7307 | STBIDEF int stbi_is_16_bit_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7300:13: warning: ‘int stbi_info_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*)’ defined but not used [-Wunused-function] 7300 | STBIDEF int stbi_info_from_callbacks(stbi_io_callbacks const *c, void *user, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7293:13: warning: ‘int stbi_info_from_memory(const stbi_uc*, int, int*, int*, int*)’ defined but not used [-Wunused-function] 7293 | STBIDEF int stbi_info_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7271:13: warning: ‘int stbi_is_16_bit(const char*)’ defined but not used [-Wunused-function] 7271 | STBIDEF int stbi_is_16_bit(char const *filename) | ^~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:7250:13: warning: ‘int stbi_info(const char*, int*, int*, int*)’ defined but not used [-Wunused-function] 7250 | STBIDEF int stbi_info(char const *filename, int *x, int *y, int *comp) | ^~~~~~~~~ ../inst/include/stb/stb_image.h:4747:14: warning: ‘void stbi_convert_iphone_png_to_rgb(int)’ defined but not used [-Wunused-function] 4747 | STBIDEF void stbi_convert_iphone_png_to_rgb(int flag_true_if_should_convert) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4742:14: warning: ‘void stbi_set_unpremultiply_on_load(int)’ defined but not used [-Wunused-function] 4742 | STBIDEF void stbi_set_unpremultiply_on_load(int flag_true_if_should_unpremultiply) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4308:13: warning: ‘int stbi_zlib_decode_noheader_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4308 | STBIDEF int stbi_zlib_decode_noheader_buffer(char *obuffer, int olen, const char *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4292:15: warning: ‘char* stbi_zlib_decode_noheader_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4292 | STBIDEF char *stbi_zlib_decode_noheader_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4281:13: warning: ‘int stbi_zlib_decode_buffer(char*, int, const char*, int)’ defined but not used [-Wunused-function] 4281 | STBIDEF int stbi_zlib_decode_buffer(char *obuffer, int olen, char const *ibuffer, int ilen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:4260:15: warning: ‘char* stbi_zlib_decode_malloc(const char*, int, int*)’ defined but not used [-Wunused-function] 4260 | STBIDEF char *stbi_zlib_decode_malloc(char const *buffer, int len, int *outlen) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1437:16: warning: ‘void stbi_hdr_to_ldr_scale(float)’ defined but not used [-Wunused-function] 1437 | STBIDEF void stbi_hdr_to_ldr_scale(float scale) { stbi__h2l_scale_i = 1/scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1436:16: warning: ‘void stbi_hdr_to_ldr_gamma(float)’ defined but not used [-Wunused-function] 1436 | STBIDEF void stbi_hdr_to_ldr_gamma(float gamma) { stbi__h2l_gamma_i = 1/gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1431:16: warning: ‘void stbi_ldr_to_hdr_scale(float)’ defined but not used [-Wunused-function] 1431 | STBIDEF void stbi_ldr_to_hdr_scale(float scale) { stbi__l2h_scale = scale; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1430:16: warning: ‘void stbi_ldr_to_hdr_gamma(float)’ defined but not used [-Wunused-function] 1430 | STBIDEF void stbi_ldr_to_hdr_gamma(float gamma) { stbi__l2h_gamma = gamma; } | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1414:18: warning: ‘int stbi_is_hdr_from_callbacks(const stbi_io_callbacks*, void*)’ defined but not used [-Wunused-function] 1414 | STBIDEF int stbi_is_hdr_from_callbacks(stbi_io_callbacks const *clbk, void *user) | ^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1386:18: warning: ‘int stbi_is_hdr(const char*)’ defined but not used [-Wunused-function] 1386 | STBIDEF int stbi_is_hdr (char const *filename) | ^~~~~~~~~~~ ../inst/include/stb/stb_image.h:1372:13: warning: ‘int stbi_is_hdr_from_memory(const stbi_uc*, int)’ defined but not used [-Wunused-function] 1372 | STBIDEF int stbi_is_hdr_from_memory(stbi_uc const *buffer, int len) | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1348:16: warning: ‘float* stbi_loadf(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1348 | STBIDEF float *stbi_loadf(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~ ../inst/include/stb/stb_image.h:1340:16: warning: ‘float* stbi_loadf_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1340 | STBIDEF float *stbi_loadf_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1333:16: warning: ‘float* stbi_loadf_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1333 | STBIDEF float *stbi_loadf_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1299:18: warning: ‘stbi_uc* stbi_load_gif_from_memory(const stbi_uc*, int, int**, int*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1299 | STBIDEF stbi_uc *stbi_load_gif_from_memory(stbi_uc const *buffer, int len, int **delays, int *x, int *y, int *z, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1291:18: warning: ‘stbi_uc* stbi_load_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1291 | STBIDEF stbi_uc *stbi_load_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1284:18: warning: ‘stbi_uc* stbi_load_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1284 | STBIDEF stbi_uc *stbi_load_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1277:18: warning: ‘stbi_us* stbi_load_16_from_callbacks(const stbi_io_callbacks*, void*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1277 | STBIDEF stbi_us *stbi_load_16_from_callbacks(stbi_io_callbacks const *clbk, void *user, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1270:18: warning: ‘stbi_us* stbi_load_16_from_memory(const stbi_uc*, int, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1270 | STBIDEF stbi_us *stbi_load_16_from_memory(stbi_uc const *buffer, int len, int *x, int *y, int *channels_in_file, int desired_channels) | ^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/stb/stb_image.h:1257:18: warning: ‘stbi_us* stbi_load_16(const char*, int*, int*, int*, int)’ defined but not used [-Wunused-function] 1257 | STBIDEF stbi_us *stbi_load_16(char const *filename, int *x, int *y, int *comp, int req_comp) | ^~~~~~~~~~~~ ../inst/include/stb/stb_image.h:999:14: warning: ‘void stbi_set_flip_vertically_on_load(int)’ defined but not used [-Wunused-function] 999 | STBIDEF void stbi_set_flip_vertically_on_load(int flag_true_if_should_flip) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o mlpack.so RcppExports.o adaboost.o approx_kfn.o bayesian_linear_regression.o cf.o dbscan.o decision_tree.o det.o emst.o fastmks.o gmm_generate.o gmm_probability.o gmm_train.o hmm_generate.o hmm_loglik.o hmm_train.o hmm_viterbi.o hoeffding_tree.o image_converter.o kde.o kernel_pca.o kfn.o kmeans.o knn.o krann.o lars.o linear_regression.o linear_svm.o lmnn.o local_coordinate_coding.o logistic_regression.o lsh.o mean_shift.o nbc.o nca.o nmf.o pca.o perceptron.o preprocess_binarize.o preprocess_describe.o preprocess_one_hot_encoding.o preprocess_scale.o preprocess_split.o r_util.o radical.o random_forest.o softmax_regression.o sparse_coding.o test_r_binding.o -fopenmp -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp7n4Utu/R.INSTALL2d1c332c8f68a3/mlpack/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-mlpack/00new/mlpack/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlpack) checking vegan_2.6-8.tar.gz ... checking adegenet_2.1.10.tar.gz ... checking adespatial_0.3-23.tar.gz ... checking AICcPermanova_0.0.2.tar.gz ... checking aIc_1.0.tar.gz ... checking AlleleShift_1.1-2.tar.gz ... checking analogue_0.17-6.tar.gz ... checking aPCoA_1.3.tar.gz ... checking Arothron_2.0.5.tar.gz ... checking ausplotsR_2.0.5.tar.gz ... checking BAT_2.9.6.tar.gz ... checking BBI_0.3.0.tar.gz ... checking betaper_1.1-2.tar.gz ... checking bingat_1.3.tar.gz ... checking BioTIMEr_0.2.3.tar.gz ... checking BiodiversityR_2.16-1.tar.gz ... checking bipartite_2.20.tar.gz ... checking blender_0.1.2.tar.gz ... checking canaper_1.0.1.tar.gz ... checking cassandRa_0.2.0.tar.gz ... checking cati_0.99.4.tar.gz ... checking chemodiv_0.3.0.tar.gz ... checking cml_0.2.2.tar.gz ... checking CNVRG_1.0.0.tar.gz ... checking cocorresp_0.4-4.tar.gz ... checking codyn_2.0.5.tar.gz ... checking CommEcol_1.8.1.tar.gz ... checking comsimitv_0.1.5.tar.gz ... checking forams_2.0-6.tar.gz ... checking gdm_1.5.0-9.1.tar.gz ... checking ecan_0.2.1.tar.gz ... checking enmpa_0.1.8.tar.gz ... checking dispRity_1.8.tar.gz ... checking ecocbo_0.12.0.tar.gz ... checking EcoIndR_2.0.tar.gz ... checking fundiversity_1.1.1.tar.gz ... checking EvaluateCore_0.1.3.tar.gz ... checking HybridMicrobiomes_0.1.1.tar.gz ... checking FD_1.0-12.3.tar.gz ... checking diathor_0.1.0.tar.gz ... checking divvy_1.0.0.tar.gz ... checking mFD_1.0.7.tar.gz ... checking funspace_0.2.2.tar.gz ... checking DIscBIO_1.2.2.tar.gz ... checking isopam_2.0.tar.gz ... checking microeco_1.9.1.tar.gz ... checking GABB_0.3.8.tar.gz ... checking metrix_1.1.0.tar.gz ... checking DarkDiv_0.3.0.tar.gz ... checking dilp_1.1.0.tar.gz ... checking entropart_1.6-15.tar.gz ... checking graph4lg_1.8.0.tar.gz ... checking metacoder_0.3.7.tar.gz ... checking MiSPU_1.0.tar.gz ... checking edmcr_0.2.0.tar.gz ... checking phyloregion_1.0.8.tar.gz ... checking EcotoneFinder_0.2.3.tar.gz ... checking grapherator_1.0.0.tar.gz ... checking glmm.hp_0.1-4.tar.gz ... checking octopucs_0.1.1.tar.gz ... checking mirt_1.42.tar.gz ... checking GUniFrac_1.8.tar.gz ... checking dartR.spatial_0.78.tar.gz ... checking iCAMP_1.5.12.tar.gz ... checking FreeSortR_1.3.tar.gz ... checking MEclustnet_1.2.2.tar.gz ... checking easyCODA_0.40.2.tar.gz ... checking LDM_6.0.1.tar.gz ... checking ProjectionBasedClustering_1.2.2.tar.gz ... checking PopGenReport_3.1.tar.gz ... checking mcMST_1.1.1.tar.gz ... checking Momocs_1.4.1.tar.gz ... checking picante_1.8.2.tar.gz ... checking hilldiv_1.5.1.tar.gz ... checking CoreMicrobiomeR_0.1.0.tar.gz ... checking SigTree_1.10.6.tar.gz ... checking memgene_1.0.2.tar.gz ... checking evolqg_0.3-4.tar.gz ... checking mixKernel_0.9-1.tar.gz ... checking ecospat_4.1.1.tar.gz ... checking naturaList_0.5.2.tar.gz ... checking dartR_2.9.7.tar.gz ... checking nodiv_1.4.2.tar.gz ... checking ggordiplots_0.4.3.tar.gz ... checking NADA2_1.1.6.tar.gz ... checking patternize_0.0.5.tar.gz ... checking pctax_0.1.1.tar.gz ... checking HTSSIP_1.4.1.tar.gz ... checking microbial_0.0.21.tar.gz ... checking netassoc_0.7.0.tar.gz ... checking stops_1.6-2.tar.gz ... checking palaeoSig_2.1-3.tar.gz ... checking RPANDA_2.3.tar.gz ... checking tapnet_0.3.tar.gz ... checking mobsim_0.3.1.tar.gz ... checking NST_3.1.10.tar.gz ... checking netcom_2.1.7.tar.gz ... checking RTCC_0.1.1.tar.gz ... checking paco_0.4.2.tar.gz ... checking spmoran_0.2.3.tar.gz ... checking KnowBR_2.2.tar.gz ... checking smartsnp_1.1.0.tar.gz ... checking visvow_1.3.11.tar.gz ... checking SSP_1.0.1.tar.gz ... checking shapeR_1.0-1.tar.gz ... checking node2vec_0.1.0.tar.gz ... checking rareNMtests_1.2.tar.gz ... checking glottospace_0.0.112.tar.gz ... checking GRNNs_0.1.0.tar.gz ... checking soundecology_1.3.3.tar.gz ... checking bipartiteD3_0.3.1.tar.gz ... checking dissCqN_0.1.0.tar.gz ... checking poppr_2.9.6.tar.gz ... checking goeveg_0.7.5.tar.gz ... checking ordiBreadth_1.0.tar.gz ... checking eHOF_1.15.tar.gz ... checking Toothnroll_1.11.tar.gz ... checking QFASA_1.2.1.tar.gz ... checking rioja_1.0-6.tar.gz ... checking RRphylo_2.8.1.tar.gz ... checking segRDA_1.0.2.tar.gz ... checking vegtable_0.1.8.tar.gz ... checking biosampleR_1.0.4.tar.gz ... checking restoptr_1.0.6.tar.gz ... checking PCPS_1.0.7.tar.gz ... checking metacom_1.5.3.tar.gz ... checking RaceID_0.3.5.tar.gz ... checking seriation_1.5.6.tar.gz ... checking ecotraj_0.1.1.tar.gz ... checking neonPlantEcology_1.6.1.tar.gz ... checking smacofx_1.5-3.tar.gz ... checking divDyn_0.8.2.tar.gz ... checking surveyvoi_1.0.6.tar.gz ... checking ReporterScore_0.1.8.tar.gz ... checking SQMtools_1.6.3.tar.gz ... checking taxize_0.9.100.1.tar.gz ... checking pez_1.2-4.tar.gz ... checking ecospace_1.4.2.tar.gz ... checking abdiv_0.2.0.tar.gz ... checking vcfR_1.15.0.tar.gz ... checking mpmcorrelogram_0.1-4.tar.gz ... checking mefa_3.2-9.tar.gz ... checking spaceNet_1.2.tar.gz ... checking SparseLPM_1.0.tar.gz ... checking ProcMod_1.0.8.tar.gz ... checking ecolottery_1.0.0.tar.gz ... checking recluster_2.9.tar.gz ... checking RVAideMemoire_0.9-83-7.tar.gz ... checking permute_0.9-7.tar.gz ... checking Rtapas_1.2.tar.gz ... checking SYNCSA_1.3.4.tar.gz ... checking PolicyPortfolios_0.3.tar.gz ... checking SoundShape_1.3.0.tar.gz ... checking dimRed_0.2.6.tar.gz ... checking betapart_1.6.tar.gz ... checking ecoregime_0.2.0.tar.gz ... checking tspmeta_1.2.tar.gz ... checking SRS_0.2.3.tar.gz ... checking epiphy_0.5.0.tar.gz ... checking vegclust_2.0.2.tar.gz ... checking GCalignR_1.0.7.tar.gz ... checking Xplortext_1.5.3.tar.gz ... checking supportR_1.4.0.tar.gz ... checking sads_0.6.3.tar.gz ... checking raptr_1.0.1.tar.gz ... checking ecostats_1.2.1.tar.gz ... checking TaxaNorm_2.4.tar.gz ... checking GOCompare_1.0.2.1.tar.gz ... checking enveomics.R_1.9.1.tar.gz ... checking sharpshootR_2.3.1.tar.gz ... checking MiRKAT_1.2.3.tar.gz ... checking MiscMetabar_0.9.1.tar.gz ... checking pcutils_0.2.6.tar.gz ... checking ulrb_0.1.5.tar.gz ... checking vegan3d_1.3-0.tar.gz ... checking vegdata_0.9.12.tar.gz ... checking TOmicsVis_2.0.0.tar.gz ... checking Rraven_1.0.14.tar.gz ... checking tidypaleo_0.1.3.tar.gz ... checking phylotools_0.2.2.tar.gz ... checking MorphoTools2_1.0.1.1.tar.gz ... checking shipunov_1.17.1.tar.gz ... checking ordr_0.1.1.tar.gz ... checking hagis_3.1.12.tar.gz ... checking rdacca.hp_1.1-1.tar.gz ... checking WeightedCluster_1.6-4.tar.gz ... checking spaa_0.2.2.tar.gz ... checking TraMineR_2.2-10.tar.gz ... checking dynRB_0.18.tar.gz ... checking MetaNet_0.1.2.tar.gz ... checking idar_1.5.tar.gz ... checking yaImpute_1.0-34.tar.gz ... checking HMP_2.0.1.tar.gz ... checking NicheBarcoding_1.0.tar.gz ... checking RVenn_1.1.0.tar.gz ... checking zetadiv_1.2.1.tar.gz ... checking primer_1.2.0.tar.gz ... Depends: Package: vegan Depends: permute (>= 0.9-0), lattice, R (>= 4.1.0) Imports: MASS, cluster, mgcv Timings: user system elapsed vegan 290.744 13.965 314.492 Results: Check status summary: ERROR NOTE OK Source packages 0 0 1 Reverse depends 1 75 120 Check results summary: vegan ... OK rdepends_abdiv ... OK rdepends_adegenet ... NOTE * checking Rd cross-references ... NOTE rdepends_adespatial ... NOTE * checking Rd cross-references ... NOTE rdepends_aIc ... OK rdepends_AICcPermanova ... NOTE * checking Rd cross-references ... NOTE rdepends_AlleleShift ... OK rdepends_analogue ... NOTE * checking Rd files ... [1s/1s] NOTE * checking Rd cross-references ... NOTE * checking differences from ‘analogue-Ex.Rout’ to ‘analogue-Ex.Rout.save’ ... NOTE rdepends_aPCoA ... OK rdepends_Arothron ... OK rdepends_ausplotsR ... OK rdepends_BAT ... OK rdepends_BBI ... OK rdepends_betapart ... NOTE * checking Rd files ... [1s/1s] NOTE * checking Rd cross-references ... NOTE rdepends_betaper ... OK rdepends_bingat ... OK rdepends_BiodiversityR ... OK rdepends_biosampleR ... OK rdepends_BioTIMEr ... OK rdepends_bipartite ... NOTE * checking Rd cross-references ... NOTE rdepends_bipartiteD3 ... OK rdepends_blender ... OK rdepends_canaper ... OK rdepends_cassandRa ... OK rdepends_cati ... OK rdepends_chemodiv ... OK rdepends_cml ... OK rdepends_CNVRG ... OK rdepends_cocorresp ... NOTE * checking Rd cross-references ... NOTE * checking differences from ‘cocorresp-Ex.Rout’ to ‘cocorresp-Ex.Rout.save’ ... NOTE rdepends_codyn ... NOTE * checking Rd files ... [1s/1s] NOTE rdepends_CommEcol ... OK rdepends_comsimitv ... OK rdepends_CoreMicrobiomeR ... OK rdepends_DarkDiv ... NOTE * checking LazyData ... NOTE rdepends_dartR ... NOTE * checking Rd files ... [2s/2s] NOTE * checking Rd cross-references ... NOTE rdepends_dartR.spatial ... NOTE * checking Rd cross-references ... NOTE rdepends_diathor ... OK rdepends_dilp ... OK rdepends_dimRed ... NOTE * checking package dependencies ... NOTE * checking Rd files ... [1s/1s] NOTE * checking Rd cross-references ... NOTE rdepends_DIscBIO ... OK rdepends_dispRity ... OK rdepends_dissCqN ... OK rdepends_divDyn ... NOTE * checking Rd files ... [1s/1s] NOTE rdepends_divvy ... OK rdepends_dynRB ... OK rdepends_easyCODA ... OK rdepends_ecan ... OK rdepends_ecocbo ... OK rdepends_EcoIndR ... OK rdepends_ecolottery ... NOTE * checking Rd cross-references ... NOTE rdepends_ecoregime ... OK rdepends_ecospace ... OK rdepends_ecospat ... OK rdepends_ecostats ... OK rdepends_EcotoneFinder ... NOTE * checking LazyData ... NOTE rdepends_ecotraj ... NOTE * checking Rd cross-references ... NOTE rdepends_edmcr ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_eHOF ... OK rdepends_enmpa ... OK rdepends_entropart ... OK rdepends_enveomics.R ... OK rdepends_epiphy ... OK rdepends_EvaluateCore ... NOTE * checking Rd files ... [4s/4s] NOTE rdepends_evolqg ... NOTE * checking Rd cross-references ... NOTE rdepends_FD ... NOTE * checking for non-standard things in the check directory ... NOTE rdepends_forams ... OK rdepends_FreeSortR ... OK rdepends_fundiversity ... OK rdepends_funspace ... OK rdepends_GABB ... OK rdepends_GCalignR ... OK rdepends_gdm ... NOTE * checking C++ specification ... NOTE rdepends_ggordiplots ... OK rdepends_glmm.hp ... OK rdepends_glottospace ... OK rdepends_GOCompare ... OK rdepends_goeveg ... OK rdepends_graph4lg ... OK rdepends_grapherator ... NOTE * checking LazyData ... NOTE rdepends_GRNNs ... OK rdepends_GUniFrac ... NOTE * checking Rd cross-references ... NOTE rdepends_hagis ... NOTE * checking Rd cross-references ... NOTE rdepends_hilldiv ... OK rdepends_HMP ... OK rdepends_HTSSIP ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_HybridMicrobiomes ... NOTE * checking package dependencies ... NOTE rdepends_iCAMP ... OK rdepends_idar ... OK rdepends_isopam ... OK rdepends_KnowBR ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_LDM ... OK rdepends_mcMST ... OK rdepends_MEclustnet ... OK rdepends_mefa ... OK rdepends_memgene ... NOTE * checking Rd files ... [0s/0s] NOTE * checking Rd cross-references ... NOTE rdepends_metacoder ... NOTE * checking Rd cross-references ... NOTE rdepends_metacom ... OK rdepends_MetaNet ... OK rdepends_metrix ... OK rdepends_mFD ... OK rdepends_microbial ... OK rdepends_microeco ... OK rdepends_MiRKAT ... OK rdepends_mirt ... OK rdepends_MiscMetabar ... NOTE * checking Rd cross-references ... NOTE rdepends_MiSPU ... OK rdepends_mixKernel ... OK rdepends_mobsim ... NOTE * checking Rd cross-references ... NOTE rdepends_Momocs ... NOTE * checking Rd cross-references ... NOTE rdepends_MorphoTools2 ... NOTE * checking Rd cross-references ... NOTE rdepends_mpmcorrelogram ... OK rdepends_NADA2 ... ERROR * checking examples ... [6s/6s] ERROR * checking re-building of vignette outputs ... [125s/125s] ERROR rdepends_naturaList ... OK rdepends_neonPlantEcology ... OK rdepends_netassoc ... NOTE * checking Rd files ... [0s/0s] NOTE * checking Rd cross-references ... NOTE rdepends_netcom ... OK rdepends_NicheBarcoding ... OK rdepends_node2vec ... OK rdepends_nodiv ... NOTE * checking Rd cross-references ... NOTE rdepends_NST ... OK rdepends_octopucs ... OK rdepends_ordiBreadth ... OK rdepends_ordr ... NOTE * checking Rd files ... [1s/1s] NOTE * checking Rd cross-references ... NOTE rdepends_paco ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_palaeoSig ... NOTE * checking Rd files ... [0s/0s] NOTE * checking Rd cross-references ... NOTE rdepends_patternize ... NOTE * checking Rd files ... [1s/1s] NOTE rdepends_PCPS ... NOTE * checking Rd cross-references ... NOTE rdepends_pctax ... NOTE * checking Rd cross-references ... NOTE rdepends_pcutils ... OK rdepends_permute ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_pez ... NOTE * checking Rd cross-references ... NOTE rdepends_phyloregion ... NOTE * checking Rd files ... [0s/0s] NOTE * checking Rd cross-references ... NOTE rdepends_phylotools ... NOTE * checking Rd cross-references ... NOTE rdepends_picante ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_PolicyPortfolios ... NOTE * checking Rd cross-references ... NOTE rdepends_PopGenReport ... NOTE * checking Rd cross-references ... NOTE rdepends_poppr ... NOTE * checking Rd cross-references ... NOTE rdepends_primer ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_ProcMod ... OK rdepends_ProjectionBasedClustering ... OK rdepends_QFASA ... OK rdepends_RaceID ... OK rdepends_raptr ... NOTE * checking package dependencies ... NOTE rdepends_rareNMtests ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_rdacca.hp ... OK rdepends_recluster ... OK rdepends_ReporterScore ... OK rdepends_restoptr ... NOTE * checking Rd cross-references ... NOTE rdepends_rioja ... OK rdepends_RPANDA ... NOTE * checking Rd cross-references ... NOTE rdepends_Rraven ... OK rdepends_RRphylo ... OK rdepends_Rtapas ... OK rdepends_RTCC ... OK rdepends_RVAideMemoire ... NOTE * checking Rd cross-references ... NOTE rdepends_RVenn ... NOTE * checking LazyData ... NOTE rdepends_sads ... NOTE * checking Rd cross-references ... NOTE rdepends_segRDA ... OK rdepends_seriation ... OK rdepends_shapeR ... NOTE * checking Rd cross-references ... NOTE rdepends_sharpshootR ... NOTE * checking package dependencies ... NOTE * checking Rd cross-references ... NOTE rdepends_shipunov ... NOTE * checking Rd files ... [1s/1s] NOTE rdepends_SigTree ... NOTE * checking Rd files ... [0s/0s] NOTE * checking for non-standard things in the check directory ... NOTE rdepends_smacofx ... OK rdepends_smartsnp ... NOTE * checking Rd files ... [0s/0s] NOTE * checking LazyData ... NOTE rdepends_soundecology ... OK rdepends_SoundShape ... NOTE * checking Rd cross-references ... NOTE rdepends_spaa ... OK rdepends_spaceNet ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_SparseLPM ... OK rdepends_spmoran ... OK rdepends_SQMtools ... OK rdepends_SRS ... OK rdepends_SSP ... NOTE * checking Rd cross-references ... NOTE rdepends_stops ... OK rdepends_supportR ... OK rdepends_surveyvoi ... NOTE * checking package dependencies ... NOTE rdepends_SYNCSA ... NOTE * checking Rd cross-references ... NOTE rdepends_tapnet ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_TaxaNorm ... OK rdepends_taxize ... NOTE * checking R code for possible problems ... [25s/25s] NOTE * checking Rd cross-references ... NOTE rdepends_tidypaleo ... OK rdepends_TOmicsVis ... OK rdepends_Toothnroll ... OK rdepends_TraMineR ... OK rdepends_tspmeta ... NOTE * checking LazyData ... NOTE rdepends_ulrb ... OK rdepends_vcfR ... OK rdepends_vegan3d ... NOTE * checking Rd cross-references ... NOTE rdepends_vegclust ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_vegdata ... OK rdepends_vegtable ... NOTE * checking Rd cross-references ... NOTE rdepends_visvow ... OK rdepends_WeightedCluster ... NOTE * checking Rd cross-references ... NOTE rdepends_Xplortext ... OK rdepends_yaImpute ... OK rdepends_zetadiv ... NOTE * checking Rd files ... [0s/0s] NOTE * checking Rd cross-references ... NOTE Warning in normalizePath(dir) : path[1]="/home/hornik/tmp/CRAN": No such file or directory Calls: -> normalizePath Warning in normalizePath(dir) : path[1]="/home/hornik/tmp/CRAN": No such file or directory Calls: -> R_check_outdirs -> normalizePath